基于反向传播神经网络(BPNN)的气体识别

本文介绍了一种使用BP神经网络对传感器阵列输入进行处理的方法。通过定义输入矩阵和目标输出矩阵,实现了对不同输入信号的有效识别。文章详细记录了网络训练的过程及参数设置,并展示了最终的识别结果。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

%BP neural network for the senor array
%The input matrices
m=[0.909	0.646	0.604	0.611	0.600	0.801	1.128	2.614
1.132	0.645	0.609	0.608	0.600	0.813	1.128	2.615
1.351	0.647	0.606	0.612	0.600	0.824	1.127	2.617
1.575	0.645	0.606	0.610	0.600	0.830	1.135	2.613
1.803	0.645	0.606	0.612	0.600	0.842	1.147	2.611
2.036	0.648	0.606	0.612	0.600	0.852	1.135	2.612
2.260	0.649	0.605	0.610	0.600	0.858	1.135	2.614
2.470	0.652	0.609	0.610	0.600	0.868	1.138	2.613
2.708	0.651	0.610	0.614	0.600	0.871	1.153	2.609
2.931	0.651	0.602	0.611	0.600	0.886	1.147	2.610
0.694	0.729	0.607	0.612	0.600	0.796	1.114	2.611
0.693	0.825	0.603	0.610	0.600	0.800	1.120	2.609
0.693	0.917	0.608	0.611	0.600	0.809	1.116	2.609
0.691	1.003	0.608	0.608	0.600	0.813	1.111	2.606
0.688	1.093	0.608	0.611	0.600	0.820	1.120	2.600
0.693	1.180	0.610	0.611	0.600	0.823	1.115	2.602
0.692	1.275	0.606	0.608	0.600	0.831	1.115	2.600
0.693	1.371	0.607	0.610	0.600	0.836	1.118	2.601
0.693	1.480	0.604	0.612	0.600	0.843	1.116	2.596
0.691	1.578	0.605	0.609	0.600	0.850	1.115	2.595
0.690	0.582	0.666	0.613	0.600	0.774	1.116	2.607
0.691	0.584	0.720	0.612	0.600	0.762	1.117	2.596
0.697	0.583	0.775	0.609	0.600	0.748	1.121	2.595
0.696	0.583	0.823	0.609	0.600	0.726	1.116	2.580
0.699	0.582	0.876	0.610	0.600	0.719	1.123	2.585
0.697	0.582	0.945	0.611	0.600	0.701	1.115	2.585
0.692	0.584	1.005	0.608	0.600	0.685	1.115	2.585
0.698	0.585	1.073	0.611	0.600	0.665	1.126	2.572
0.697	0.581	1.129	0.609	0.600	0.648	1.126	2.572
0.698	0.580	1.199	0.608	0.600	0.626	1.116	2.565
0.687	0.649	0.608	0.691	0.600	0.791	0.982	2.614
0.695	0.650	0.609	0.778	0.600	0.797	0.983	2.612
0.691	0.648	0.609	0.874	0.600	0.795	0.980	2.612
0.693	0.650	0.608	0.968	0.600	0.796	0.989	2.611
0.691	0.647	0.612	1.106	0.600	0.795	0.978	2.609
0.691	0.648	0.608	1.224	0.600	0.791	0.978	2.613
0.695	0.650	0.612	1.369	0.600	0.795	0.983	2.613
0.692	0.648	0.610	1.505	0.600	0.795	0.982	2.611
0.690	0.645	0.608	1.617	0.600	0.796	0.988	2.606
0.692	0.645	0.612	1.744	0.600	0.792	0.982	2.608
0.684	0.666	0.610	0.609	0.689	0.780	1.106	2.605
0.688	0.665	0.606	0.608	0.807	0.781	1.092	2.598
0.687	0.662	0.608	0.609	0.912	0.782	1.096	2.580
0.687	0.666	0.612	0.608	0.994	0.783	1.096	2.581
0.692	0.666	0.608	0.611	1.093	0.780	1.088	2.576
0.689	0.668	0.605	0.614	1.201	0.782	1.085	2.569
0.693	0.669	0.608	0.611	1.300	0.778	1.080	2.560
0.692	0.670	0.610	0.608	1.398	0.777	1.072	2.551
0.690	0.668	0.604	0.608	1.500	0.778	1.076	2.538
0.692	0.670	0.611	0.611	1.589	0.776	1.070	2.536
0.691	0.646	0.596	0.613	0.600	0.956	0.978	2.615
0.695	0.646	0.590	0.638	0.600	1.150	0.976	2.613
0.695	0.649	0.596	0.659	0.600	1.327	0.982	2.612
0.698	0.647	0.592	0.670	0.600	1.522	0.984	2.615
0.699	0.645	0.591	0.690	0.600	1.711	0.976	2.614
0.696	0.645	0.594	0.707	0.600	1.899	0.971	2.615
0.696	0.645	0.594	0.720	0.600	2.087	0.966	2.616
0.708	0.641	0.592	0.738	0.600	2.281	0.971	2.614
0.704	0.640	0.592	0.752	0.600	2.459	0.974	2.613
0.706	0.641	0.590	0.767	0.600	2.653	0.978	2.616
0.699	0.647	0.608	0.608	0.600	0.828	1.278	2.610
0.697	0.642	0.608	0.613	0.600	0.826	1.505	2.609
0.697	0.645	0.608	0.610	0.600	0.820	1.703	2.607
0.697	0.645	0.608	0.608	0.600	0.807	1.898	2.605
0.699	0.647	0.608	0.609	0.600	0.809	2.071	2.608
0.699	0.646	0.608	0.609	0.600	0.805	2.272	2.609
0.699	0.646	0.606	0.609	0.600	0.807	2.462	2.607
0.701	0.649	0.610	0.611	0.600	0.800	2.658	2.609
0.700	0.642	0.605	0.607	0.600	0.803	2.828	2.607
0.703	0.645	0.608	0.611	0.600	0.797	2.977	2.609]';
%Target output matrices
n=[1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    1 0 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 1 0 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 1 0 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 1 0 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 1 0 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 1 0 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ;
    0 0 0 0 0 0 1 ]';
    [R1,Q1]=size(m);
    a1=1:2:Q1;
    b1=2:2:Q1;
    [R2,Q2]=size(n);
    a2=1:2:Q2;
    b2=2:2:Q2;
    P=m(:,a1);
    T=n(:,a2);
    s=4:10;
    res=1:7;
    resSet=[]
    for i=1:7
        net=newff(minmax(P),[7 s(i) 7],{'tansig','tansig','purelin'},'traingdx');
        %net.trainParam.epochs=20000;
         net.trainParam.epochs=20000;
        net.trainParam.goal=1e-12;
        net.trainParam.show=100;
        net.trainParam.mc=0.9;
        net=train(net,P,T);
        net.trainParam.show=5;
        net.trainParam.mu=0.0002;
        net.trainParam.mu_dec=0.1;
        net.trainParam.mu_inc=10;
         net.trainParam.mu_max=1000000;
        %net.trainParam.mu_max=1000000;
        net.trainParam.min_grad=1e-10;
        %input your test value
        test=m(:,b1);
        Y=sim(net,test);
        Y'
        error=Y-T;
        res=norm(error)
         resSet=[resSet res];
    end
      %  plot(res,'*-')

错误筛查程序:

cc=[
 1.1219   -0.0405   -0.0539   -0.0600   -0.0094    0.0157    0.0261
    1.0677   -0.0169   -0.0198   -0.0418   -0.0042    0.0063    0.0088
    0.9831    0.0059   -0.0012    0.0121   -0.0157    0.0137    0.0021
    0.9294    0.0373    0.0199    0.0305   -0.0345    0.0206   -0.0033
    1.0341    0.0219    0.0003   -0.0385   -0.0203   -0.0069    0.0094
   -0.0151    1.0458   -0.1805    0.0016    0.0718    0.0078    0.0686
    0.0166    1.0141    0.0466    0.0042   -0.0445   -0.0219   -0.0151
    0.0063    1.0061    0.0940    0.0143   -0.0746   -0.0143   -0.0319
   -0.0052    1.0314    0.0075   -0.0073   -0.0407    0.0196   -0.0053
   -0.0016    1.0245   -0.1807    0.0010    0.0641    0.0392    0.0535
   -0.0320    0.0168    0.9711    0.0061    0.0557   -0.0421    0.0244
   -0.0669    0.0927    0.9766   -0.0433    0.0498   -0.0498    0.0408
    0.0314    0.0125    1.0319   -0.0460   -0.0215    0.0145   -0.0228
   -0.0384    0.0587    0.9861   -0.0224    0.0053    0.0176   -0.0069
   -0.0716    0.0046    0.9204    0.0896   -0.0247    0.0531    0.0285
    0.0493   -0.0112   -0.0612    1.0171   -0.0451    0.0034    0.0476
   -0.0021   -0.0047   -0.0053    1.0211   -0.0082   -0.0050    0.0043
   -0.0252   -0.0147    0.0013    1.0317    0.0036    0.0104   -0.0071
    0.0003   -0.0114    0.0188    1.0022    0.0305   -0.0182   -0.0221
    0.0317   -0.0130    0.0153    0.9798    0.0594   -0.0477   -0.0256
   -0.0124   -0.2354    0.0716    0.2796    1.0599   -0.0892   -0.0741
   -0.0096   -0.1264    0.0263    0.1361    1.0159   -0.0437    0.0014
    0.0250   -0.0667    0.0085    0.0487    0.9587   -0.0144    0.0401
   -0.0088    0.0249   -0.0137   -0.0145    0.9860    0.0016    0.0244
   -0.0387   -0.1991    0.1789    0.2675    0.9131   -0.1627    0.0411
    0.0620   -0.0593   -0.0876   -0.0251    0.0195    1.0435    0.0470
   -0.1027    0.0175   -0.0104    0.0215   -0.0370    1.0924    0.0188
   -0.0369   -0.0106    0.0247    0.0247   -0.0181    1.0298   -0.0137
    0.0685   -0.0116    0.0291   -0.0298    0.0048    0.9733   -0.0343
   -0.0293    0.0365   -0.1072    0.0454   -0.0103    0.9901    0.0749
    0.0301   -0.0136   -0.0462   -0.0037   -0.0194    0.0058    1.0470
   -0.0032    0.0005   -0.0010   -0.0115   -0.0053    0.0043    1.0162
   -0.0183    0.0008    0.0150    0.0018   -0.0007   -0.0022    1.0037
   -0.0118   -0.0045    0.0071   -0.0009    0.0027   -0.0008    1.0080
   -0.0097   -0.0081    0.0040    0.0003    0.0052   -0.0010    1.0093

]



cc((cc>=0.8))=1;
cc((cc<0.8))=0;
rrr=sum(cc)


实验结果:


>> qitishibiechengxu
Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.5584   -0.0600    0.0765    0.0840   -0.1106    0.3512    0.1008
    0.6984   -0.1352    0.1569    0.0176   -0.2374    0.3574    0.1428
    0.7233   -0.2017    0.1357    0.0048   -0.1917    0.3338    0.1961
    0.6833   -0.2602    0.0680    0.0242   -0.0536    0.3016    0.2372
    0.6650   -0.3199    0.0037    0.0336    0.0552    0.2699    0.2930
   -0.0140    0.6453   -0.0184    0.2145   -0.1778    0.1811    0.1692
   -0.2437    0.8580    0.0381    0.2456   -0.1583    0.0884    0.1718
   -0.3108    0.8961    0.0599    0.2603   -0.1235    0.0707    0.1470
   -0.2315    0.8436    0.0672    0.2642   -0.1522    0.1479    0.0606
   -0.0042    0.7155    0.0552    0.2532   -0.2646    0.3136   -0.0688
    0.1293   -0.0134    0.8100   -0.0248    0.0871   -0.0191    0.0309
    0.0794    0.0476    1.0048   -0.0533    0.0124   -0.0463   -0.0447
    0.0678    0.0575    1.0315   -0.0559    0.0065   -0.0513   -0.0563
    0.0038    0.0808    1.0705   -0.0456    0.0483   -0.0720   -0.0859
   -0.0378    0.0946    1.0905   -0.0377    0.0790   -0.0851   -0.1037
    0.0490    0.2012   -0.0348    0.2506    0.2812    0.2306    0.0221
    0.0295    0.2286   -0.0365    0.2566    0.2756    0.2293    0.0169
    0.0128    0.3141   -0.0289    0.2646    0.1996    0.2493   -0.0115
    0.0219    0.3132   -0.0306    0.2680    0.1926    0.2645   -0.0297
    0.0317    0.2788   -0.0393    0.2707    0.2243    0.2702   -0.0365
   -0.1091   -0.0790    0.0479    0.2473    0.7568    0.0502    0.0855
   -0.1775   -0.1308    0.1713    0.2325    0.8558   -0.0121    0.0605
   -0.1288   -0.1541    0.0419    0.2608    0.8734    0.0442    0.0624
   -0.0899   -0.1517    0.0177    0.2640    0.8344    0.0800    0.0452
   -0.0358   -0.1405   -0.0225    0.2697    0.7734    0.1315    0.0241
    0.2494    0.2208   -0.0282    0.2542    0.0344    0.4361   -0.1665
    0.3804    0.1650   -0.0377    0.2480   -0.0502    0.5344   -0.2396
    0.3899    0.1010   -0.0522    0.2498    0.0162    0.5301   -0.2346
    0.3695    0.0615   -0.0576    0.2518    0.0866    0.5057   -0.2172
    0.3522    0.0431   -0.0600    0.2533    0.1284    0.4881   -0.2049
    0.2643    0.0570    0.0237   -0.0161    0.0434   -0.1431    0.7707
    0.1199    0.1924    0.0662   -0.0395    0.0286   -0.2912    0.9236
    0.0989    0.2050   -0.0036   -0.0240    0.0625   -0.3007    0.9616
    0.2492    0.1068   -0.0608   -0.0237    0.0192   -0.1953    0.9045
    0.3830    0.0046   -0.1183   -0.0208    0.0004   -0.1009    0.8519


res =

    2.2379

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.8669   -0.0525    0.0369   -0.0977    0.0256    0.1060    0.1148
    1.0381   -0.1423   -0.0089   -0.0838   -0.0073    0.1252    0.0788
    0.9805   -0.0680   -0.0167   -0.0516   -0.0200    0.1605    0.0153
    0.9444   -0.0076   -0.0243   -0.0439   -0.0368    0.1769   -0.0086
    0.9312    0.0218   -0.0283   -0.0441   -0.0462    0.1832   -0.0175
    0.1064    0.6982    0.1649   -0.1577    0.0454    0.1597   -0.0168
   -0.0206    0.9197    0.1159   -0.1364   -0.0503    0.2031   -0.0314
   -0.0863    0.9813    0.0765   -0.0973   -0.1094    0.2142    0.0208
   -0.1238    1.0279    0.0538   -0.0676   -0.1413    0.2331    0.0178
   -0.1485    1.0311    0.0426   -0.0461   -0.1550    0.2352    0.0406
    0.1090    0.0913    0.3702   -0.0678    0.4092    0.0523    0.0359
   -0.0091    0.0368    0.4345   -0.0557    0.4928    0.0180    0.0827
   -0.0739    0.1286    0.4516   -0.0655    0.5011    0.0369    0.0212
   -0.0902    0.0276    0.4600   -0.0518    0.5194   -0.0064    0.1413
   -0.0940   -0.0191    0.4648   -0.0443    0.5302   -0.0230    0.1853
   -0.0458   -0.0696   -0.0373    0.7238    0.0493    0.3500    0.0295
   -0.0790   -0.1453   -0.0784    0.8344    0.0227    0.3679    0.0776
   -0.0888   -0.1100   -0.0932    0.8406   -0.0002    0.3780    0.0736
   -0.0862   -0.0469   -0.0962    0.8103   -0.0172    0.3832    0.0530
   -0.0829   -0.0219   -0.0967    0.7959   -0.0233    0.3846    0.0443
    0.0728    0.0467    0.3554    0.0670    0.4291    0.1233   -0.0942
   -0.0159   -0.0852    0.4583    0.0647    0.5738    0.0739   -0.0695
   -0.0690   -0.1160    0.4932    0.0758    0.6226    0.0641   -0.0707
   -0.0873   -0.1208    0.5285    0.0188    0.6532    0.0236   -0.0161
   -0.0921   -0.1372    0.5278    0.0006    0.6455   -0.0041    0.0594
    0.1040    0.1027    0.0667    0.4022    0.1130    0.2883   -0.0769
    0.1376    0.1929    0.0437    0.3594    0.0658    0.2988   -0.0981
    0.1300    0.2069    0.0114    0.3981    0.0288    0.3171   -0.0922
    0.1860    0.2207    0.0025    0.3621    0.0116    0.3133   -0.0960
    0.2473    0.2947   -0.0061    0.2897   -0.0190    0.3112   -0.1176
    0.0536   -0.0142    0.0237    0.0972   -0.0611   -0.0983    0.9989
    0.0179    0.0564    0.0446    0.0509   -0.0539   -0.1071    0.9912
    0.0090    0.0542    0.0532    0.0465   -0.0436   -0.1111    0.9918
    0.0063    0.0177    0.0583    0.0605   -0.0302   -0.1157    1.0031
    0.0057   -0.0101    0.0608    0.0720   -0.0215   -0.1187    1.0119


res =

    2.2393

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Operation terminated by user during nnjava.tools (line 209)

In nntraintool>doubleArray2JavaArray (line 242)
for i=1:count, y(i) = nnjava.tools('double',x(i)); end

In nntraintool (line 112)
      trainTool.updateStatus(doubleArray2JavaArray(statusValues));

In nn_train_feedback (line 44)
      nntraintool('update',net,tr,data,status_values);

In traingdx>train_network (line 229)
    nn_train_feedback('update',net,status,tr,data, ...

In traingdx (line 115)
  [net,tr] = train_network(net,tr,data,fcns,param);

In network/train (line 106)
[net,tr] = feval(net.trainFcn,net,X,T,Xi,Ai,EW,net.trainParam);

In qitishibiechengxu (line 161)
        net=train(net,P,T);
 
>> qitishibiechengxu
Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.1414    0.1461    0.1852    0.1615    0.1266    0.1303    0.1302
    0.1777    0.1420    0.1968    0.1575    0.1040    0.1246    0.1203
    0.3040    0.1099    0.2065    0.0767    0.0806    0.1584    0.1124
    0.6706    0.0265    0.2241   -0.1359   -0.0085    0.2347    0.0846
    1.4530   -0.0807    0.2805   -0.3783   -0.3863    0.2125   -0.0461
    0.1222    0.1427    0.1638    0.1398    0.1575    0.1515    0.1458
    0.1002    0.1508    0.1527    0.1552    0.1585    0.1422    0.1482
    0.0496    0.1738    0.1353    0.2073    0.1471    0.1077    0.1470
   -0.0395    0.2096    0.0905    0.2796    0.1428    0.0618    0.1539
   -0.2214    0.2879   -0.0239    0.4281    0.1286   -0.0379    0.1712
    0.1127    0.1718    0.2014    0.2411    0.0794    0.0715    0.1090
    0.1048    0.1911    0.2124    0.2994    0.0340    0.0235    0.0899
    0.1387    0.1933    0.2168    0.3039    0.0022    0.0079    0.0781
    0.2582    0.1997    0.2233    0.3107   -0.1034   -0.0416    0.0407
    0.6646    0.1899    0.2468    0.2554   -0.3874   -0.1357   -0.0597
    0.1051    0.1648    0.1878    0.2147    0.1073    0.0951    0.1220
    0.0709    0.1936    0.2013    0.3026    0.0568    0.0303    0.1001
    0.0055    0.2424    0.2098    0.4439   -0.0181   -0.0729    0.0700
   -0.1100    0.3297    0.1918    0.6854   -0.1459   -0.2526    0.0264
   -0.2050    0.4014    0.0689    0.8716   -0.2392   -0.3968    0.0219
    0.1456    0.1137    0.1349    0.0482    0.2193    0.2215    0.1753
    0.1424    0.0936    0.0935   -0.0177    0.2798    0.2773    0.2071
    0.1018    0.0718    0.0144   -0.0844    0.3743    0.3462    0.2600
   -0.0298    0.0779   -0.0903   -0.0516    0.4607    0.3625    0.3156
   -0.2631    0.1091   -0.2519    0.0419    0.5715    0.3532    0.3921
    0.1345    0.1152    0.1263    0.0476    0.2270    0.2238    0.1798
    0.1321    0.0906    0.0731   -0.0394    0.3031    0.2951    0.2198
    0.1155    0.0718    0.0169   -0.1038    0.3728    0.3527    0.2582
    0.0902    0.0587   -0.0327   -0.1394    0.4281    0.3918    0.2902
    0.0835    0.0479   -0.0560   -0.1512    0.4531    0.4101    0.3058
    0.1334    0.1458    0.1806    0.1579    0.1353    0.1351    0.1342
    0.1394    0.1496    0.1894    0.1734    0.1180    0.1211    0.1261
    0.1528    0.1472    0.1927    0.1682    0.1126    0.1219    0.1237
    0.1749    0.1435    0.1971    0.1596    0.1034    0.1230    0.1198
    0.2028    0.1367    0.1995    0.1414    0.0980    0.1303    0.1179


res =

    2.3830

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.3016    0.0776    0.3041    0.0880   -0.0949    0.2391    0.1934
    0.3678    0.0697    0.1714    0.0533   -0.1834    0.2999    0.1860
    0.3971    0.0718    0.0918    0.0276   -0.2196    0.3282    0.1817
    0.4073    0.0712    0.0698    0.0107   -0.2362    0.3326    0.1782
    0.4112    0.0717    0.0571    0.0067   -0.2411    0.3365    0.1773
    0.1010    0.2834    0.0133    0.0443    0.3207    0.1887    0.2224
    0.0802    0.3611   -0.1181   -0.0975    0.3881    0.1787    0.2329
    0.1101    0.3785   -0.1621   -0.1766    0.3567    0.1973    0.2423
    0.1627    0.3601   -0.1672   -0.2010    0.2779    0.2323    0.2473
    0.2111    0.3317   -0.1585   -0.1952    0.2003    0.2658    0.2490
    0.1485    0.0482    0.4475    0.2545    0.0652    0.0932    0.1396
    0.1125   -0.0062    0.4137    0.3974    0.0700    0.0602    0.0826
    0.1613   -0.0635    0.7731    0.1464   -0.1050   -0.0671    0.0738
    0.1479   -0.1075    0.8121    0.1861   -0.1351   -0.1118    0.0351
    0.1592   -0.1525    0.9615    0.0775   -0.2284   -0.2004    0.0014
    0.0793    0.0539    0.3010    0.3919    0.1692    0.0813    0.1016
   -0.0110   -0.0231    0.2136    0.6415    0.2240    0.0091   -0.0011
   -0.0812   -0.1148    0.1714    0.8730    0.2386   -0.0632   -0.1017
   -0.1271   -0.1592    0.1405    1.0101    0.2635   -0.1008   -0.1542
   -0.1450   -0.1739    0.1515    1.0664    0.2789   -0.1120   -0.1659
    0.0113    0.2078    0.0394    0.2700    0.3759    0.1046    0.1422
   -0.1081    0.2868   -0.0981    0.2441    0.5694    0.0282    0.1196
   -0.1886    0.3719   -0.1475    0.1617    0.7231   -0.0220    0.1346
   -0.2429    0.4398   -0.1770    0.0827    0.8334   -0.0563    0.1518
   -0.3037    0.4882   -0.2112    0.0377    0.9347   -0.1027    0.1503
    0.2101    0.1673    0.1804    0.1133    0.1039    0.2333    0.2146
    0.2688    0.1916    0.0587    0.0325    0.0501    0.2962    0.2303
    0.3069    0.1956   -0.0262   -0.0118    0.0022    0.3287    0.2279
    0.3313    0.1942   -0.0758   -0.0396   -0.0330    0.3454    0.2234
    0.3409    0.1986   -0.0933   -0.0606   -0.0435    0.3523    0.2252
    0.1823    0.2392    0.1743    0.0264    0.1943    0.2322    0.2558
    0.1917    0.3042    0.0588   -0.0857    0.2280    0.2608    0.2809
    0.2218    0.3259    0.0271   -0.1590    0.2041    0.2869    0.2990
    0.2436    0.3303   -0.0164   -0.1939    0.1768    0.3029    0.2990
    0.2618    0.3222   -0.0383   -0.2006    0.1466    0.3145    0.2944


res =

    2.2555

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.5233    0.1851   -0.0836    0.0193    0.1854    0.1773    0.1388
    0.8140    0.1090   -0.0477    0.0172    0.1521    0.0554    0.0760
    1.0154    0.0406    0.0120    0.0353    0.0999   -0.0592    0.0178
    1.1358   -0.0085    0.0620    0.0328    0.0648   -0.1340   -0.0017
    1.2048   -0.0330    0.0957    0.0127    0.0567   -0.1692   -0.0139
    0.1626    0.3319   -0.0107    0.2001    0.1424    0.1376    0.0977
    0.2110    0.4538   -0.0306    0.2461    0.1124    0.0661    0.0152
    0.1709    0.6024   -0.0502    0.2759    0.0479   -0.0033    0.0151
    0.0797    0.7849   -0.1029    0.2383   -0.0368   -0.0584    0.1549
   -0.1286    1.0210   -0.1338    0.1785   -0.1516   -0.1366    0.4095
   -0.0511   -0.0909    0.4374    0.3587    0.2192    0.0527    0.0541
   -0.1399   -0.2589    0.7170    0.4576    0.1971   -0.1153    0.0977
   -0.0353   -0.1703    0.6929    0.3671    0.2701   -0.0737   -0.0423
   -0.1697    0.0842    0.7381    0.1507    0.3127   -0.0671    0.0330
   -0.2652    0.4946    0.6950   -0.2196    0.4310    0.0373    0.0465
    0.0694    0.2063    0.1613    0.3172    0.1502    0.0673    0.0512
    0.0499    0.2512    0.2249    0.4275    0.0775   -0.0626    0.0235
    0.0381    0.3063    0.2775    0.5322   -0.0070   -0.1807   -0.0312
   -0.0235    0.2876    0.3810    0.6371   -0.0911   -0.3001   -0.0238
   -0.0689    0.2680    0.4443    0.6911   -0.1377   -0.3656   -0.0009
    0.1670    0.1259    0.0949    0.0716    0.3096    0.3157   -0.0285
    0.1466    0.0687    0.2253    0.0011    0.4253    0.3613   -0.1421
    0.1344    0.0763    0.2433   -0.1165    0.4979    0.4486   -0.1833
    0.0235    0.0301    0.3539   -0.1004    0.5079    0.4304   -0.1704
   -0.0527    0.0429    0.3913   -0.1215    0.5069    0.4366   -0.1459
   -0.0447    0.0709    0.0874    0.1253    0.2044    0.3485    0.1264
   -0.1040    0.0022    0.0442   -0.0004    0.2162    0.5148    0.1539
   -0.1541   -0.0456    0.0424   -0.1148    0.2492    0.6438    0.1467
   -0.1824   -0.0699    0.0390   -0.2357    0.2779    0.7469    0.1554
   -0.2019   -0.0949    0.0307   -0.3471    0.2840    0.8243    0.2017
    0.0124    0.1743   -0.0935    0.0728   -0.0034    0.2501    0.4951
   -0.0133    0.1108   -0.1105    0.0318   -0.1422    0.1874    0.7912
    0.0824    0.0378   -0.0938   -0.0073   -0.2112    0.0882    0.9941
    0.1785    0.0200   -0.0758   -0.0258   -0.2318    0.0047    1.0781
    0.2440    0.0119   -0.0631   -0.0344   -0.2395   -0.0473    1.1144


res =

    2.2105

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.3741    0.1640    0.3064    0.0508    0.1797    0.0370    0.0186
    0.6126    0.1260    0.3925   -0.0452    0.1791   -0.0794   -0.0871
    0.7510    0.0380    0.3610   -0.1530    0.0784   -0.1547   -0.0946
    0.8208   -0.0486    0.2901   -0.2376   -0.0267   -0.2020   -0.0637
    0.8937   -0.1123    0.2368   -0.3125   -0.1107   -0.2044   -0.0277
    0.1371    0.2420    0.1613    0.0343    0.1126    0.1150    0.2709
    0.1858    0.2727    0.1827   -0.0175    0.1071    0.0886    0.2945
    0.2286    0.2988    0.1911   -0.0623    0.1135    0.0609    0.3232
    0.2606    0.3159    0.1942   -0.0925    0.1208    0.0468    0.3447
    0.3104    0.3304    0.1955   -0.1248    0.1428    0.0290    0.3640
    0.2547    0.1765    0.2748    0.0760    0.0949    0.1606    0.0791
    0.4175    0.1800    0.3830    0.0067    0.0608    0.1331   -0.0070
    0.3538    0.1680    0.4033    0.0595   -0.0263    0.2451   -0.0603
    0.3834    0.2221    0.4347   -0.0089   -0.0891    0.2237   -0.0356
    0.3413    0.3134    0.4420   -0.0231   -0.0921    0.1955   -0.0032
    0.0830    0.0359    0.1491    0.3041    0.1942    0.2319   -0.0168
    0.0067   -0.0562    0.0877    0.4534    0.2617    0.2763   -0.1126
   -0.1092   -0.1247   -0.0022    0.6342    0.3376    0.3284   -0.2031
   -0.1465   -0.0780   -0.0225    0.7053    0.3708    0.3254   -0.2489
   -0.1520    0.0325    0.0051    0.7022    0.3552    0.3181   -0.2535
    0.0898    0.0638    0.0112    0.2718    0.4461   -0.0903    0.1060
    0.1043    0.0067   -0.0334    0.3401    0.5827   -0.1957    0.0440
    0.1016   -0.0469   -0.0566    0.4067    0.6514   -0.2211   -0.0194
    0.1256   -0.0524   -0.0476    0.4074    0.6707   -0.2444   -0.0397
    0.1429   -0.0544   -0.0384    0.4056    0.6788   -0.2560   -0.0532
   -0.0294    0.1206    0.1762    0.2243   -0.0574    0.4643    0.1251
   -0.1360    0.0965    0.1788    0.2896   -0.1828    0.6678    0.1059
   -0.1600    0.0903    0.1936    0.3237   -0.2153    0.7335    0.0703
   -0.1338    0.1171    0.2297    0.3088   -0.2322    0.7363    0.0511
   -0.0896    0.1496    0.2625    0.2896   -0.2206    0.6975    0.0286
   -0.0386    0.3333    0.0261   -0.0242    0.0693    0.1280    0.5288
   -0.1310    0.4181   -0.0916   -0.0938    0.0943    0.0740    0.7489
   -0.1773    0.4497   -0.1455   -0.1152    0.1047    0.0629    0.8406
   -0.1921    0.4664   -0.1774   -0.1275    0.1255    0.0466    0.8898
   -0.1960    0.4729   -0.1920   -0.1323    0.1386    0.0373    0.9102


res =

    2.3236

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.5604    0.1781    0.0522    0.0615    0.0144    0.0248    0.0463
    0.8347    0.1750    0.0342   -0.0199   -0.0584   -0.0329   -0.0538
    0.9722    0.1715    0.0006   -0.0449   -0.1046   -0.0526   -0.1062
    1.0010    0.1722   -0.0672   -0.0139   -0.1404   -0.0448   -0.1127
    0.9619    0.1747   -0.1223    0.0325   -0.1517   -0.0185   -0.1094
    0.2003    0.1603    0.0835    0.1740    0.1197    0.0986    0.1784
    0.1861    0.1590    0.0644    0.1918    0.1148    0.0934    0.1971
    0.1644    0.1569    0.0449    0.2129    0.1121    0.0889    0.2178
    0.1681    0.1599   -0.0022    0.2400    0.0908    0.0781    0.2313
    0.1257    0.1589   -0.0015    0.2549    0.1054    0.0915    0.2204
    0.0463    0.1436    0.2086    0.1387    0.2018    0.1869    0.1378
   -0.0509    0.1323    0.2698    0.1176    0.2350    0.2463    0.1115
   -0.0492    0.1332    0.2720    0.1178    0.2381    0.2451    0.1110
   -0.1177    0.1270    0.3174    0.0907    0.2521    0.2993    0.0762
   -0.1611    0.1256    0.3472    0.0661    0.2551    0.3416    0.0433
    0.2037    0.1623    0.1333    0.1346    0.1362    0.1267    0.1294
    0.1403    0.1563    0.1499    0.1460    0.1578    0.1455    0.1422
    0.0977    0.1527    0.1644    0.1500    0.1726    0.1615    0.1448
    0.0242    0.1448    0.2029    0.1452    0.2006    0.1963    0.1371
   -0.0320    0.1398    0.2392    0.1316    0.2197    0.2320    0.1175
    0.0665    0.1441    0.1630    0.1742    0.1889    0.1469    0.1830
   -0.0250    0.1293    0.2246    0.1670    0.2355    0.1830    0.1789
   -0.0573    0.1241    0.2491    0.1622    0.2525    0.1966    0.1745
   -0.0844    0.1210    0.2746    0.1485    0.2631    0.2190    0.1578
   -0.0980    0.1202    0.2872    0.1398    0.2667    0.2328    0.1464
    0.0773    0.1537    0.2099    0.1186    0.1899    0.1976    0.1036
   -0.0421    0.1468    0.2839    0.0896    0.2287    0.2804    0.0588
   -0.1330    0.1494    0.3489    0.0334    0.2358    0.3824   -0.0253
   -0.2492    0.1599    0.4189   -0.0663    0.2036    0.5493   -0.1719
   -0.3998    0.1839    0.4891   -0.2146    0.1202    0.7951   -0.3962
    0.0823    0.1401    0.1082    0.2167    0.1706    0.0996    0.2432
    0.0331    0.1173    0.0731    0.2794    0.1807    0.0437    0.3432
    0.0111    0.0879   -0.0489    0.3733    0.1253   -0.0575    0.4973
   -0.0542    0.0432   -0.2082    0.4779    0.0289   -0.1656    0.6811
   -0.1504   -0.0017   -0.3735    0.5764   -0.0834   -0.2612    0.8510


res =

    2.5299

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.1551    0.1340    0.1490    0.1416    0.1431    0.1509    0.1419
    0.1758    0.1163    0.1290    0.1603    0.1559    0.1592    0.1269
    0.1810    0.1087    0.0830    0.1934    0.1782    0.1551    0.1017
    0.1782    0.1007    0.0834    0.2000    0.1770    0.1537    0.1046
    0.1725    0.0879    0.0988    0.2023    0.1695    0.1512    0.1161
    0.1278    0.1818    0.0012    0.2088    0.2057    0.1167    0.0648
    0.1187    0.2012   -0.0505    0.2296    0.2262    0.1068    0.0388
    0.1124    0.2140   -0.0817    0.2415    0.2382    0.1007    0.0234
    0.1039    0.2322   -0.1067    0.2456    0.2448    0.0967    0.0136
    0.1001    0.2402   -0.1199    0.2488    0.2490    0.0944    0.0079
    0.1520    0.1043    0.2693    0.0911    0.0934    0.1577    0.2066
    0.1605    0.0739    0.3701    0.0481    0.0515    0.1720    0.2600
    0.1424    0.0470    0.5946   -0.0661   -0.0511    0.1876    0.3878
    0.1454    0.0242    0.6843   -0.1062   -0.0892    0.1978    0.4360
    0.1434    0.0077    0.7564   -0.1377   -0.1198    0.2024    0.4753
    0.1309    0.1826    0.0002    0.2071    0.2051    0.1201    0.0646
    0.1294    0.1947   -0.0482    0.2285    0.2254    0.1146    0.0387
    0.1216    0.2147   -0.0872    0.2396    0.2384    0.1091    0.0209
    0.1193    0.2184   -0.0944    0.2415    0.2402    0.1070    0.0184
    0.1196    0.2031   -0.0576    0.2300    0.2260    0.1066    0.0378
    0.1571    0.1349    0.0859    0.1812    0.1756    0.1393    0.1039
    0.1784    0.1213    0.0245    0.2227    0.2079    0.1418    0.0655
    0.1853    0.1173   -0.0510    0.2707    0.2437    0.1339    0.0235
    0.1856    0.1054   -0.1341    0.3300    0.2807    0.1185   -0.0178
    0.1918    0.0675   -0.1893    0.3828    0.3099    0.0887   -0.0434
    0.1274    0.1733    0.1184    0.1396    0.1474    0.1376    0.1341
    0.1180    0.1908    0.1797    0.0877    0.1086    0.1509    0.1770
    0.1102    0.2186    0.1871    0.0592    0.0925    0.1573    0.1922
    0.1069    0.2386    0.1840    0.0382    0.0819    0.1562    0.2032
    0.1127    0.2639    0.1365    0.0252    0.0813    0.1415    0.2057
    0.1454    0.1152    0.2477    0.0987    0.1015    0.1522    0.1963
    0.1537    0.0810    0.3773    0.0404    0.0463    0.1703    0.2657
    0.1502    0.0569    0.5175   -0.0282   -0.0163    0.1841    0.3438
    0.1516    0.0403    0.5945   -0.0647   -0.0499    0.1934    0.3859
    0.1535    0.0332    0.6180   -0.0749   -0.0597    0.1966    0.3983


res =

    2.3758

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.2285    0.1744    0.0575    0.1603    0.0106    0.2197    0.1692
    0.2456    0.1752    0.0727    0.1617    0.0122    0.2150    0.1720
    0.2908    0.1956    0.0924    0.1733   -0.0007    0.2193    0.1700
    0.3888    0.2591    0.1155    0.2056   -0.0399    0.2463    0.1574
    0.5428    0.3656    0.1724    0.2542   -0.0716    0.2810    0.1394
    0.2034    0.1822    0.0626    0.1612    0.0140    0.2083    0.1575
    0.2003    0.2230    0.0782    0.1786   -0.0088    0.1991    0.1280
    0.2088    0.3270    0.1054    0.2257   -0.0783    0.1895    0.0566
    0.2445    0.5262    0.1314    0.3223   -0.2341    0.1930   -0.0783
    0.3139    0.9288    0.1527    0.5552   -0.5985    0.2014   -0.3927
    0.1419    0.1314    0.1288    0.1311    0.1099    0.1412    0.1734
    0.0182    0.1232    0.2616    0.1103    0.2950    0.0313    0.1409
   -0.0368    0.1182    0.3201    0.1061    0.4062   -0.0083    0.1139
   -0.0297    0.1721    0.4825    0.2037    0.4245   -0.0991   -0.0946
    0.0738    0.1947    0.5985    0.3894    0.1746   -0.1958   -0.3991
    0.2088    0.1612    0.0527    0.1540    0.0234    0.2149    0.1722
    0.1859    0.1357    0.0643    0.1419    0.0545    0.1970    0.1814
    0.1508    0.1001    0.0712    0.1273    0.0952    0.1763    0.1913
    0.0618    0.0296    0.0814    0.0989    0.1878    0.1327    0.2038
   -0.0725   -0.0550    0.0715    0.0702    0.3091    0.0878    0.2028
    0.1323    0.0873    0.1434    0.1110    0.1495    0.1252    0.1979
   -0.0200    0.0061    0.2990    0.0474    0.4816    0.0074    0.2124
   -0.0564   -0.0744    0.4255    0.0149    0.7467   -0.0442    0.1972
   -0.0503   -0.1638    0.4984    0.0094    0.8315   -0.0812    0.1533
   -0.0624   -0.2255    0.5099    0.0146    0.8094   -0.1042    0.1103
    0.2241    0.1992    0.0328    0.1721   -0.0125    0.2373    0.1529
    0.2178    0.2078    0.0204    0.1781   -0.0200    0.2433    0.1442
    0.2000    0.2078   -0.0004    0.1840   -0.0243    0.2480    0.1341
    0.1625    0.1948   -0.0386    0.1908   -0.0233    0.2526    0.1206
    0.0866    0.1467   -0.1119    0.1955   -0.0034    0.2574    0.1078
    0.1829    0.1501    0.0831    0.1434    0.0593    0.1866    0.1751
    0.1280    0.1003    0.1346    0.1135    0.1482    0.1331    0.1944
    0.0897    0.0686    0.1681    0.0929    0.2181    0.1005    0.2076
    0.0274    0.0335    0.2229    0.0648    0.3429    0.0548    0.2204
   -0.0178    0.0159    0.2662    0.0462    0.4532    0.0268    0.2251


res =

    2.4607

>> qitishibiechengxu
Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.7487   -0.0618    0.0009    0.0822   -0.0020    0.1145    0.2072
    1.0099   -0.0914   -0.0673    0.1191   -0.0318    0.1175    0.0494
    1.0650   -0.0897   -0.0864    0.1308   -0.0330    0.1182   -0.0021
    1.0868   -0.0957   -0.0937    0.1251   -0.0421    0.1182   -0.0014
    0.9147   -0.0591   -0.0544    0.1130   -0.0195    0.1214    0.0530
    0.0137    0.2186    0.1191    0.1523    0.2468    0.1149    0.1308
   -0.0450    0.2908    0.1022    0.1857    0.2957    0.1179    0.0050
   -0.0695    0.3347    0.0785    0.1869    0.3054    0.1222   -0.0678
   -0.0934    0.3703    0.0516    0.1657    0.2909    0.1294   -0.1120
   -0.1192    0.4026    0.0282    0.1422    0.2694    0.1388   -0.1503
    0.0127    0.1292    0.1830    0.1108    0.1481    0.1345    0.3009
   -0.0918    0.1820    0.2281    0.1711    0.1617    0.1633    0.1809
   -0.1200    0.1308    0.2872    0.1532    0.0794    0.1907    0.2674
   -0.2940    0.1072    0.4761    0.2327   -0.0848    0.3035    0.1916
   -0.5625    0.0559    0.7902    0.3609   -0.3715    0.4930    0.0741
    0.2340    0.1714    0.0744    0.1743    0.2141    0.1146    0.0509
    0.1893    0.2247    0.0731    0.2182    0.2600    0.1186   -0.0592
    0.1533    0.2545    0.0757    0.2401    0.2854    0.1208   -0.1113
    0.0313    0.2896    0.1059    0.2491    0.3114    0.1255   -0.1076
   -0.0327    0.3068    0.1257    0.2566    0.3196    0.1313   -0.1109
    0.0759    0.2374    0.0906    0.1820    0.2677    0.1131    0.0323
    0.0071    0.2975    0.0872    0.2152    0.3181    0.1142   -0.0612
    0.0127    0.3077    0.0802    0.2239    0.3287    0.1132   -0.0893
   -0.0036    0.3141    0.0861    0.2320    0.3377    0.1137   -0.0974
   -0.0086    0.3159    0.0899    0.2372    0.3408    0.1146   -0.1028
    0.1769    0.1209    0.1277    0.1336    0.1488    0.1286    0.1949
    0.1006    0.1296    0.1849    0.1658    0.1173    0.1609    0.1549
    0.0406    0.1419    0.2330    0.2013    0.0909    0.1913    0.0974
    0.0177    0.1371    0.2656    0.2183    0.0599    0.2124    0.0756
    0.0268    0.1156    0.2859    0.2181    0.0230    0.2259    0.0886
    0.1032    0.0041    0.1915    0.0049    0.0381    0.1264    0.5696
    0.0037   -0.0500    0.2627   -0.0458   -0.0363    0.1439    0.7519
   -0.0141   -0.1272    0.3122   -0.1034   -0.1248    0.1565    0.9346
   -0.0633   -0.1504    0.3553   -0.1144   -0.1676    0.1732    0.9944
   -0.0962   -0.1665    0.3871   -0.1191   -0.1999    0.1869    1.0295


res =

    2.3490

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.4493    0.1327    0.1604    0.2741   -0.0397    0.1669   -0.1024
    0.6925    0.1177    0.0791    0.2294    0.0494    0.0270   -0.1625
    0.8930    0.0332    0.0280    0.2012    0.1435   -0.1492   -0.1461
    0.9951   -0.0517    0.0163    0.2052    0.1809   -0.2639   -0.1030
    1.0617   -0.1197    0.0230    0.2174    0.1989   -0.3590   -0.0714
    0.1609    0.4121    0.0232    0.1025    0.0583    0.2859    0.0009
    0.1092    0.7124   -0.1501   -0.0488    0.1293    0.3030   -0.0215
    0.0672    0.9184   -0.2525   -0.1053    0.0945    0.1923    0.0363
    0.0545    1.0648   -0.2835   -0.0840   -0.0243    0.0307    0.0773
    0.1083    1.1093   -0.2602   -0.0124   -0.1606   -0.2207    0.1250
    0.1023   -0.0216    0.2634    0.2349    0.0908    0.1968    0.1470
    0.0649   -0.0900    0.2512    0.1363    0.2916    0.1479    0.2078
    0.0397   -0.1233    0.3491    0.2287    0.1741    0.2244    0.1309
   -0.0133   -0.1713    0.3568    0.1554    0.3261    0.2170    0.1573
   -0.0471   -0.2092    0.3866    0.1465    0.3670    0.2265    0.1604
    0.2150    0.0755    0.2410    0.3083   -0.0790    0.2287    0.0361
    0.1834    0.0005    0.2799    0.3584   -0.1288    0.1997    0.1132
    0.1878   -0.0839    0.3313    0.4358   -0.2147    0.1682    0.1634
    0.2219   -0.1194    0.3401    0.5149   -0.3387    0.1224    0.2237
    0.3156   -0.1263    0.3206    0.6181   -0.5234    0.0541    0.2777
    0.0341    0.2096    0.1170   -0.0933    0.5312    0.2909   -0.0157
    0.0786    0.0403    0.1066   -0.2562    0.9065    0.1158    0.0536
    0.1103    0.0024    0.1148   -0.2866    0.9868    0.0519    0.0472
    0.1650   -0.0021    0.1126   -0.2396    0.9073   -0.0453    0.0817
    0.1994    0.0030    0.1076   -0.1969    0.8278   -0.1156    0.1175
    0.0445    0.2679    0.1671    0.1194    0.1349    0.3665   -0.0323
   -0.1117    0.3124    0.1687    0.0461    0.2304    0.4385   -0.0054
   -0.1986    0.3100    0.1785    0.0337    0.2456    0.4571    0.0475
   -0.2122    0.2733    0.1885    0.0848    0.1677    0.4215    0.1280
   -0.1678    0.2490    0.1927    0.1622    0.0415    0.3788    0.1741
   -0.0298    0.0562    0.1676    0.2398   -0.0154    0.1425    0.4007
   -0.1733    0.0126    0.0846    0.1922    0.0303   -0.0044    0.7450
   -0.2451    0.0083    0.0505    0.1846    0.0191   -0.0598    0.8949
   -0.2499   -0.0253    0.0338    0.1429    0.1020   -0.1293    0.9554
   -0.2252   -0.0574    0.0375    0.1130    0.1763   -0.1746    0.9500


res =

    2.2821

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.4178    0.1008   -0.0986    0.1927   -0.0289    0.1299    0.1630
    0.7375    0.0206   -0.1038    0.1427   -0.0888    0.1137    0.1165
    1.0319   -0.0100   -0.0494    0.0823   -0.0579    0.0761    0.0449
    1.1719    0.0561    0.0245    0.0445    0.0787    0.0140   -0.0112
    1.1950    0.1448    0.0967    0.0136    0.2326   -0.0555   -0.0397
    0.0890    0.2129    0.1219    0.1882    0.1806    0.0899    0.1746
    0.0624    0.2172    0.1445    0.1858    0.1943    0.0883    0.1800
    0.0493    0.2237    0.1509    0.1865    0.1981    0.0731    0.2069
    0.0529    0.2243    0.1343    0.1905    0.1848    0.0623    0.2354
    0.0419    0.2208    0.1406    0.1891    0.1791    0.0559    0.2606
   -0.0453    0.2271    0.3417    0.1443    0.3181    0.1076    0.0874
   -0.1691    0.2047    0.5470    0.0928    0.4141    0.1505   -0.0030
   -0.1896    0.2026    0.5844    0.0859    0.4369    0.1721   -0.0398
   -0.2739    0.1792    0.7323    0.0449    0.4998    0.2022   -0.1059
   -0.3365    0.1621    0.8438    0.0147    0.5497    0.2315   -0.1657
    0.0992    0.0985    0.0978    0.1699    0.0913    0.2755    0.0022
    0.1230    0.1293    0.0379    0.1850    0.0825    0.2192    0.0659
    0.1585    0.1522   -0.0379    0.1999    0.0609    0.1720    0.1237
    0.1589    0.1975   -0.0456    0.2103    0.0933    0.1140    0.1708
    0.1559    0.2145   -0.0411    0.2158    0.1097    0.1019    0.1772
    0.0065    0.2646    0.2981    0.1642    0.3218    0.0529    0.1387
   -0.0482    0.2612    0.3803    0.1412    0.3647    0.0517    0.1155
   -0.0372    0.2816    0.3841    0.1392    0.3857    0.0139    0.1319
   -0.0605    0.2879    0.4159    0.1211    0.4160   -0.0048    0.1252
   -0.0403    0.3117    0.3746    0.1223    0.4196   -0.0515    0.1648
    0.1156   -0.0470    0.0732    0.1578   -0.0216    0.5468   -0.2331
    0.1759   -0.1716   -0.0533    0.1682   -0.1745    0.7727   -0.3958
    0.1827   -0.1561   -0.0667    0.1759   -0.1622    0.7799   -0.4082
    0.1458   -0.0516    0.0157    0.1697   -0.0346    0.6195   -0.3064
    0.1172    0.0321    0.0869    0.1599    0.0728    0.4881   -0.2270
    0.1435    0.2828    0.0237    0.2071    0.1603   -0.1024    0.4311
    0.1017    0.2076   -0.0525    0.1823    0.0180   -0.1392    0.6809
    0.0165    0.1484   -0.0560    0.1194   -0.0525   -0.2026    0.9108
   -0.0663    0.0838   -0.0736    0.0668   -0.1282   -0.2272    1.0789
   -0.1168    0.0543   -0.0774    0.0350   -0.1560   -0.2416    1.1547


res =

    2.2617

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.5820    0.1552   -0.0930    0.1551    0.0121   -0.0385    0.0333
    0.7850    0.0219   -0.1448    0.1885    0.0266   -0.0607   -0.1062
    0.8831   -0.0276   -0.1720    0.1881    0.0417   -0.0831   -0.1574
    0.9387   -0.0591   -0.2049    0.1810    0.0507   -0.0907   -0.1510
    0.9782   -0.0816   -0.2779    0.1506    0.0564   -0.0916   -0.0629
    0.1288    0.4328    0.0519    0.0519    0.0293    0.0417    0.1459
    0.1710    0.5150    0.0159   -0.0098    0.0076   -0.0697    0.0789
    0.1201    0.6243    0.0409   -0.0465   -0.0241   -0.1483    0.0039
    0.0545    0.7748    0.0998   -0.0881   -0.0659   -0.2592   -0.0886
   -0.3285    0.9425    0.2551   -0.0308   -0.2453   -0.1606   -0.1274
   -0.0602    0.2297    0.2670   -0.0072    0.3888    0.2071   -0.0117
   -0.1837   -0.0194    0.3499   -0.0167    0.5483    0.1469   -0.1901
   -0.0782    0.0701    0.6627    0.0502    0.4919    0.0385   -0.1112
   -0.0213   -0.0168    1.0719   -0.0808   -0.0256    0.0598    0.0770
    0.0978    0.0186    1.2801   -0.2139   -0.4134    0.0561    0.2750
    0.0653    0.2377    0.0811    0.2497   -0.0314    0.2630    0.1977
    0.0800    0.1120    0.0619    0.3807   -0.1018    0.3347    0.1962
    0.2107   -0.0968    0.0611    0.5380   -0.1261    0.3991    0.1728
    0.2748   -0.2450    0.0984    0.6541   -0.1154    0.4538    0.2048
    0.3207   -0.3388    0.1297    0.7198   -0.0917    0.4716    0.2490
    0.0348    0.3248    0.2448    0.0328    0.2723    0.1757    0.1532
    0.0390    0.0824    0.3298   -0.0242    0.5657    0.1808    0.0084
    0.0719   -0.0593    0.3556   -0.0330    0.7012    0.0964    0.0636
    0.0420   -0.2249    0.2003   -0.1055    0.8043   -0.0822    0.1359
    0.0729   -0.3041   -0.0916   -0.2598    0.8386   -0.3299    0.2278
   -0.0643    0.1200    0.1025    0.2289    0.0685    0.5658    0.0686
   -0.0886   -0.0193    0.0520    0.2656    0.0777    0.7516   -0.0202
   -0.0578   -0.1225   -0.0194    0.2247    0.1390    0.8574   -0.1164
   -0.0179   -0.2126   -0.0809    0.1831    0.2100    0.9105   -0.1692
   -0.0014   -0.3603   -0.0926    0.2611    0.2322    0.9983   -0.1720
   -0.0362    0.3545    0.2175    0.2023    0.0721    0.0841    0.4491
   -0.1035    0.2787    0.2942    0.3068    0.0914   -0.0182    0.7759
    0.1982    0.1404    0.0887    0.2267    0.1039   -0.2175    0.9153
    0.3600   -0.0049    0.0163    0.2071    0.1087   -0.3069    1.0069
    0.4497   -0.0874   -0.0067    0.2087    0.1009   -0.3305    1.0248


res =

    2.1680

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.3006    0.2862    0.1455    0.0889    0.0341    0.0924    0.1487
    0.4714    0.3359    0.0830    0.0299    0.0499   -0.0638    0.0649
    0.5976    0.2914   -0.0381    0.0224    0.1143   -0.1338    0.0177
    0.7097    0.2003   -0.2089    0.0130    0.2320   -0.1711    0.0176
    0.8019    0.0408   -0.3994    0.0731    0.4498   -0.1771   -0.0128
    0.2242    0.3727    0.1576    0.1473    0.0058    0.1943    0.1839
    0.3052    0.5804    0.1438    0.0587   -0.0324    0.1118    0.1920
    0.3809    0.7678    0.1327   -0.0183   -0.0649    0.0165    0.1818
    0.4183    0.9474    0.1102   -0.0785   -0.0734   -0.0322    0.2117
    0.4614    1.0803    0.0997   -0.0964   -0.0573   -0.0853    0.2049
    0.1429    0.1113    0.4977    0.2136    0.0917    0.0061   -0.0087
    0.0337    0.0632    0.6971    0.1542    0.1404   -0.0355    0.0148
   -0.0785    0.1320    0.9110    0.0123    0.0240   -0.1085    0.0620
   -0.2553    0.0990    1.0689   -0.0956    0.1440   -0.1257    0.1352
   -0.3777    0.0889    1.1451   -0.2108    0.2699   -0.1497    0.1948
    0.1714    0.0946    0.1438    0.3554    0.1237    0.2260    0.0441
    0.1685    0.0289    0.0839    0.4339    0.1779    0.2530    0.0040
    0.0880   -0.0591    0.0097    0.5376    0.2095    0.3286   -0.0240
   -0.0872   -0.1639   -0.0269    0.6778    0.2182    0.3838   -0.1138
   -0.3814   -0.2537   -0.0391    0.8311    0.1455    0.3912   -0.2890
    0.2433   -0.0189    0.2032    0.3685    0.2741    0.0827   -0.0779
    0.2256   -0.1195    0.1259    0.3179    0.5665    0.0168   -0.1203
    0.1219   -0.1674    0.0445    0.1497    0.8824   -0.0779   -0.1115
   -0.0408   -0.1715    0.1253   -0.0527    1.0894   -0.1701   -0.0488
   -0.2079   -0.1841    0.1974   -0.2468    1.2906   -0.2733    0.0006
    0.0264    0.0934    0.0712    0.3276   -0.0078    0.3728    0.1579
   -0.1062    0.0659   -0.0489    0.3333   -0.0812    0.5370    0.2774
   -0.1836    0.0448   -0.1244    0.3474   -0.0953    0.6307    0.3519
   -0.2370    0.0183   -0.1874    0.3595   -0.0758    0.6986    0.4184
   -0.3048   -0.0155   -0.2453    0.3872   -0.0273    0.7728    0.4944
    0.0893    0.1999    0.1263    0.0595   -0.0560    0.2782    0.3126
    0.0933    0.1804    0.0949   -0.1133   -0.0785    0.2394    0.4394
    0.0574    0.0155    0.0120   -0.2632   -0.0274    0.2373    0.6102
    0.0468   -0.1706   -0.0146   -0.4147    0.0589    0.1594    0.7362
    0.0226   -0.3853   -0.0376   -0.5523    0.1770    0.0781    0.8605


res =

    2.2445

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.4337   -0.0382    0.1844    0.2830    0.0832    0.1025    0.0895
    0.6455   -0.1581    0.1362    0.2325    0.0751   -0.0003    0.0496
    0.8168   -0.2353    0.0799    0.1969    0.0581   -0.1054    0.0088
    0.9650   -0.2872    0.0229    0.1819    0.0336   -0.2089   -0.0360
    1.0895   -0.3222   -0.0397    0.1613    0.0171   -0.3117   -0.0920
   -0.0446    0.3368    0.1269    0.2645    0.0838    0.1528    0.1111
   -0.1836    0.5382    0.0092    0.2378    0.0526    0.0428    0.0448
   -0.2549    0.6902   -0.0879    0.2456    0.0100   -0.0639   -0.0104
   -0.2906    0.8109   -0.1623    0.2887   -0.0373   -0.1553   -0.0609
   -0.3092    0.8799   -0.2039    0.3189   -0.0635   -0.2073   -0.0931
    0.1480    0.0419    0.2306    0.1352    0.1836    0.2523    0.1891
    0.0340    0.0525    0.2426    0.0243    0.2730    0.3101    0.1732
   -0.0100    0.0805    0.2336    0.0134    0.2965    0.3139    0.1243
   -0.0572    0.0801    0.2363   -0.0480    0.3493    0.3352    0.0994
   -0.0729    0.0776    0.2357   -0.0740    0.3752    0.3414    0.0766
    0.1667    0.1997    0.1751    0.3789    0.0434    0.1412    0.1055
    0.1662    0.2723    0.1500    0.4749   -0.0114    0.0940    0.0886
    0.1749    0.4033    0.1043    0.6693   -0.1032    0.0046    0.0411
    0.1632    0.5268    0.0608    0.8220   -0.1778   -0.0701    0.0196
    0.1536    0.6333    0.0173    0.9340   -0.2465   -0.1421    0.0091
    0.1326    0.0135    0.2308    0.0686    0.2488    0.2689    0.1289
    0.0640   -0.0025    0.2285   -0.0651    0.3580    0.2975    0.0680
    0.0234    0.0081    0.2025   -0.1437    0.4304    0.2855   -0.0292
   -0.0175    0.0335    0.1467   -0.2346    0.5153    0.2456   -0.1858
   -0.0522    0.0712    0.0264   -0.3720    0.6345    0.1553   -0.4602
    0.0659    0.0845    0.2219    0.1078    0.2263    0.2703    0.1201
   -0.0069    0.0618    0.2326   -0.0178    0.3258    0.3173    0.0957
   -0.0314    0.0455    0.2349   -0.0855    0.3798    0.3315    0.0724
   -0.0294    0.0334    0.2310   -0.1197    0.4046    0.3280    0.0542
   -0.0258    0.0306    0.2228   -0.1386    0.4167    0.3181    0.0377
    0.2636    0.0275    0.2130    0.1980    0.0781    0.1854    0.3251
    0.2419    0.0014    0.2001    0.0478    0.0572    0.1988    0.5753
    0.1604    0.0587    0.1396   -0.1171    0.0064    0.1737    0.8182
    0.0060    0.1831    0.0726   -0.3249   -0.0631    0.1396    1.0716
   -0.0792    0.2743    0.0531   -0.4761   -0.1376    0.0985    1.2420


res =

    2.2746

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.4643    0.0518    0.1083   -0.0249    0.0584    0.0066    0.1927
    0.6296    0.0193    0.0191   -0.0769    0.0695   -0.0037    0.0904
    0.7359    0.0212   -0.0625   -0.1040    0.0805   -0.0690    0.0255
    0.8073    0.0222   -0.1149   -0.1150    0.0573   -0.1554    0.0101
    0.8448    0.0326   -0.1532   -0.1189    0.0697   -0.1973   -0.0196
    0.0703    0.3472    0.0068    0.0714    0.0533    0.0022    0.4051
   -0.0490    0.5799   -0.0918    0.0744    0.0743   -0.0589    0.5076
   -0.0591    0.7032   -0.1508    0.0771    0.0930   -0.0053    0.3312
    0.0774    0.7683   -0.0905    0.1184   -0.0020    0.0384   -0.2844
    0.2234    0.8109    0.0338    0.1686   -0.1312    0.0400   -0.8954
    0.1134   -0.0124    0.3271    0.1482    0.2141    0.2001    0.1425
   -0.0115   -0.0631    0.4095    0.2666    0.2340    0.2616    0.0916
    0.0062    0.0068    0.6076    0.3716    0.0360   -0.0671    0.1864
   -0.0254   -0.0147    0.6578    0.4948   -0.0112   -0.0906    0.1095
   -0.0021    0.0020    0.7446    0.5508   -0.0916   -0.1629    0.1185
    0.0575    0.0864    0.2231    0.1850    0.1338    0.1054    0.1692
   -0.0832    0.0637    0.2840    0.3842    0.0671    0.0790    0.0888
   -0.1496    0.0172    0.3204    0.6103   -0.0124   -0.0208   -0.0704
   -0.2070   -0.0658    0.3109    0.7656   -0.0007    0.0083   -0.2302
   -0.2538   -0.1310    0.3125    0.8459    0.0287    0.0750   -0.3227
    0.2354   -0.0144    0.2124    0.0735    0.3795    0.0694    0.0617
    0.1765   -0.0832    0.2165    0.1006    0.6903    0.1339   -0.0790
    0.1180   -0.1009    0.1497    0.1452    0.9715    0.1079   -0.1920
    0.0798   -0.0767    0.0956    0.1997    1.1653    0.0567   -0.2627
    0.0545   -0.0247    0.1360    0.2743    1.2424   -0.0348   -0.2320
    0.1850    0.0199    0.0443    0.0479    0.1431    0.5422    0.0630
    0.1004   -0.0113    0.0044    0.0676    0.0691    0.8598    0.0759
    0.0677   -0.0315   -0.0185    0.0684    0.0122    1.0581    0.0963
    0.0739   -0.0407   -0.0372    0.0473   -0.0284    1.1795    0.1162
    0.0802   -0.0426   -0.0591    0.0325   -0.0464    1.2420    0.1216
    0.1340    0.1953    0.1045    0.0722    0.0028    0.1578    0.3255
    0.0532    0.3092    0.0854    0.0753   -0.0639    0.1705    0.4737
    0.0194    0.4914    0.1024    0.0506   -0.1372    0.0143    0.6660
    0.0161    0.5941    0.1236    0.0163   -0.1818   -0.0016    0.7511
    0.0059    0.6458    0.0971   -0.0158   -0.1612    0.0475    0.7644


res =

    2.0451

>> qitishibiechengxu
Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.2272    0.1809   -0.0438    0.0584    0.1092    0.2025    0.2654
    0.2401    0.1646   -0.0404    0.0526    0.0622    0.2305    0.2898
    0.2488    0.1537   -0.0382    0.0494    0.0301    0.2505    0.3050
    0.2630    0.1307   -0.0356    0.0377   -0.0001    0.2416    0.3615
    0.2752    0.1157   -0.0314    0.0310   -0.0443    0.2676    0.3847
    0.1872    0.3800    0.0191   -0.1248    0.2253    0.2484    0.0657
    0.1580    0.4653    0.0713   -0.2071    0.3047    0.2253   -0.0159
    0.1419    0.5000    0.0992   -0.2400    0.3476    0.2025   -0.0493
    0.1455    0.4954    0.0397   -0.2182    0.4155    0.1288   -0.0046
    0.1483    0.5150    0.0389   -0.2390    0.4058    0.1587   -0.0253
   -0.0012   -0.0024    0.8475    0.0898   -0.0855    0.0980    0.0509
   -0.0514   -0.0062    1.0206    0.0460   -0.0470   -0.0032    0.0379
   -0.0632    0.0296    1.0366    0.0107   -0.0028   -0.0269    0.0131
   -0.0655    0.0534    1.0435   -0.0174    0.0087   -0.0229   -0.0027
   -0.0694    0.0493    1.0285    0.0062    0.0260   -0.0333   -0.0100
    0.0441   -0.1193    0.1147    0.7179    0.1637    0.1050   -0.0253
    0.0345   -0.2411    0.1086    0.8966    0.1060    0.1068   -0.0110
    0.0418   -0.2462    0.0222    0.9592    0.1299    0.1206   -0.0267
    0.0416   -0.2460   -0.0132    0.9833    0.1586    0.1048   -0.0281
    0.0375   -0.2508   -0.0209    0.9978    0.1804    0.0803   -0.0231
    0.0786    0.3240   -0.0355    0.1280    0.6204   -0.1584    0.0465
    0.0343    0.3493    0.0366    0.1234    0.7071   -0.2353   -0.0112
    0.0476    0.3067   -0.0674    0.1967    0.7765   -0.3333    0.0777
    0.0286    0.3200   -0.0175    0.1925    0.7736   -0.3142    0.0216
    0.0282    0.2973   -0.0464    0.2371    0.7908   -0.3390    0.0368
    0.2246    0.1776    0.0082    0.1446   -0.1444    0.5803    0.0081
    0.2555    0.1886   -0.0206    0.1192   -0.2449    0.7104   -0.0097
    0.2401    0.2114   -0.0196    0.1458   -0.2434    0.7664   -0.1018
    0.2374    0.2416    0.0131    0.1072   -0.2740    0.8250   -0.1515
    0.2519    0.2851    0.0380    0.0164   -0.3173    0.8842   -0.1598
    0.3129    0.0350   -0.0004   -0.0645   -0.0152    0.0220    0.7075
    0.3145   -0.0364    0.0003   -0.0290    0.0312   -0.1311    0.8475
    0.3304   -0.0854    0.0153   -0.0208   -0.0275   -0.1335    0.9180
    0.3301   -0.1019    0.0147   -0.0048   -0.0257   -0.1516    0.9358
    0.3382   -0.1235    0.0221   -0.0001   -0.0627   -0.1376    0.9597


res =

    2.2371

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.9908    0.0158   -0.0174    0.0063   -0.1017    0.0204    0.0904
    1.0311    0.0069    0.0144   -0.0392    0.0148    0.0029   -0.0277
    1.0306   -0.0143    0.0211   -0.0194    0.0415   -0.0065   -0.0497
    1.0299   -0.0227    0.0229   -0.0102    0.0470   -0.0098   -0.0540
    1.0288   -0.0362    0.0248    0.0066    0.0493   -0.0146   -0.0552
    0.0072    0.5003   -0.0710   -0.0082    0.0368    0.3475    0.1831
    0.0034    0.6535   -0.0919   -0.1029    0.0165    0.4376    0.0770
    0.0063    0.7122   -0.0720   -0.1497    0.0086    0.4723    0.0144
    0.0014    0.7376   -0.0631   -0.1699    0.0137    0.4869   -0.0149
   -0.0180    0.7544   -0.0690   -0.1861    0.0353    0.4927   -0.0181
   -0.0325   -0.0640    0.9689    0.0020    0.0507    0.0183    0.0600
   -0.0323   -0.1128    1.0591    0.0224   -0.0233   -0.0024    0.0944
    0.0019   -0.0511    1.0419   -0.0140   -0.0130    0.0358    0.0022
    0.0191   -0.0289    1.0261   -0.0158   -0.0333    0.0528   -0.0162
    0.0345    0.0005    1.0104   -0.0300   -0.0321    0.0711   -0.0511
    0.0499   -0.0340    0.0896    0.7275    0.0398    0.2031   -0.0708
    0.0281   -0.1069    0.0291    0.8999    0.0314    0.1974   -0.0724
   -0.0425   -0.0932   -0.1095    0.9556    0.0782    0.2058    0.0118
   -0.0461   -0.1302   -0.0991    1.0047    0.0395    0.1945    0.0437
    0.0027   -0.2063    0.0081    1.0674   -0.0570    0.1726    0.0220
   -0.0414    0.0955    0.0149   -0.0049    0.8719    0.0163    0.0397
    0.0558    0.0152   -0.0242    0.0151    0.9798   -0.0424   -0.0074
    0.1049   -0.0278   -0.0260    0.0595    0.9734   -0.0585   -0.0327
   -0.0331   -0.0072   -0.0088    0.0312    1.0966   -0.0591   -0.0285
   -0.1363   -0.0012    0.0247    0.0151    1.1882   -0.0626   -0.0381
    0.0042    0.3649   -0.0271    0.2731   -0.0036    0.3467    0.0404
   -0.0163    0.4712   -0.0065    0.1575   -0.0036    0.3937    0.0007
    0.0063    0.4853    0.0660    0.1197   -0.0408    0.4030   -0.0428
   -0.0289    0.4987    0.0206    0.1193    0.0004    0.4053   -0.0194
    0.0441    0.2679    0.1342    0.3849   -0.1173    0.3329   -0.0453
    0.0498    0.1416    0.0602   -0.0893    0.0847    0.0348    0.7193
    0.0711    0.0222    0.0330   -0.0242   -0.0063   -0.0437    0.9523
    0.1015   -0.0048    0.0051   -0.0025   -0.0458   -0.0601    1.0120
    0.0013   -0.0123   -0.0129    0.0039    0.0191   -0.0735    1.0794
   -0.0428   -0.0292   -0.0140    0.0178    0.0386   -0.0857    1.1203


res =

    2.2380

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.8662    0.1278   -0.0153    0.0480    0.0393   -0.1094    0.0532
    0.9575    0.0844   -0.0096    0.0307   -0.0320   -0.0621    0.0309
    0.9870    0.0647   -0.0072    0.0154   -0.0684   -0.0212    0.0217
    1.0000    0.0476   -0.0085    0.0029   -0.0972    0.0164    0.0222
    1.0070    0.0232   -0.0147   -0.0119   -0.1345    0.0670    0.0325
    0.0326    0.3921    0.0174    0.0399    0.3606    0.1084    0.0779
    0.1002    0.4367    0.0314   -0.0287    0.3430    0.1747   -0.0271
    0.1448    0.4573    0.0463   -0.0768    0.3253    0.2195   -0.0868
    0.3084    0.4344    0.0579   -0.1069    0.2745    0.1862   -0.1261
    0.2870    0.4464    0.0650   -0.1321    0.2698    0.2364   -0.1461
    0.0637    0.0011    1.0050   -0.0893   -0.0181    0.0906   -0.0571
   -0.1668   -0.0301    1.0502    0.0164   -0.0006    0.1424   -0.0203
    0.0477   -0.0655    1.0461    0.0531   -0.0084   -0.0737    0.0003
   -0.2058   -0.0171    1.0517    0.0304    0.0242    0.1240   -0.0137
   -0.3471    0.0213    1.0586   -0.0133    0.0435    0.2539   -0.0267
   -0.0214   -0.0364   -0.0020    0.9291    0.0981    0.0104    0.0250
   -0.0292    0.0081    0.0378    0.9635    0.1231   -0.0108   -0.0814
    0.0076   -0.0049   -0.0049    1.0132    0.1106   -0.0200   -0.0910
    0.0840   -0.1059   -0.0686    1.0472    0.0106    0.0538   -0.0265
    0.1921   -0.2588   -0.1340    1.0610   -0.1497    0.1903    0.0673
   -0.0009    0.3679    0.0253    0.0631    0.3800    0.0399    0.1545
   -0.0307    0.3569    0.0451    0.0626    0.3938    0.0031    0.1994
    0.1340    0.3827    0.0122    0.0322    0.3739   -0.0203    0.1198
    0.0901    0.3750    0.0174    0.0406    0.3911   -0.0453    0.1657
    0.1211    0.3693    0.0135    0.0389    0.3868   -0.0658    0.1713
   -0.1403    0.3248   -0.0027    0.1544    0.2018    0.5542   -0.0920
   -0.1231    0.3651    0.0285   -0.1229    0.1394    0.8165   -0.1187
   -0.0426    0.2119   -0.0065   -0.1088   -0.0287    0.9793   -0.0489
    0.0821    0.0366   -0.0466   -0.1041   -0.2217    1.1346    0.0373
    0.1530   -0.0193   -0.0596   -0.1626   -0.3073    1.2081    0.0719
    0.0789    0.0923    0.0131   -0.0135    0.2775   -0.1346    0.6885
   -0.0008   -0.0340    0.0570   -0.1132    0.1826    0.0019    0.8841
   -0.0023   -0.0975   -0.0149   -0.0572    0.1533    0.0064    0.9815
    0.0093   -0.1409   -0.0693   -0.0129    0.1295    0.0094    1.0383
    0.0276   -0.1770   -0.1263    0.0375    0.1110    0.0030    1.0830


res =

    2.2421

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.8613    0.1309   -0.0010   -0.1125    0.1918   -0.0036   -0.1375
    0.9320    0.0986    0.0533   -0.0676    0.0133   -0.0632   -0.0072
    0.9697    0.1023    0.0483   -0.0339   -0.0618   -0.0908    0.0359
    1.0139    0.1113    0.0175   -0.0207   -0.0899   -0.1045    0.0420
    1.0255    0.1144   -0.0023   -0.0191   -0.0952   -0.1098    0.0558
    0.1237    0.6609   -0.0617    0.1732   -0.0051    0.0078    0.1111
    0.0173    0.9243    0.0482    0.0123    0.0004    0.0366   -0.0311
   -0.0103    1.0145    0.0342   -0.0294    0.0145    0.0454   -0.0653
   -0.0309    1.0654   -0.0701   -0.0441    0.0249    0.0367    0.0205
   -0.0412    1.0865   -0.1329   -0.0146   -0.0069    0.0026    0.1169
    0.0246   -0.0955    0.7765    0.0546    0.0946    0.0681    0.1271
    0.0111   -0.1081    0.8654   -0.0188    0.0490    0.0520    0.2142
    0.0455   -0.1201    1.0813    0.0376   -0.0319    0.1018   -0.0458
    0.0209   -0.1162    0.9495   -0.0380    0.0294    0.0873    0.1314
    0.0131   -0.1152    0.8980   -0.0694    0.0615    0.0913    0.1808
   -0.0137    0.1440    0.1503    0.6106    0.1017    0.0640   -0.0373
   -0.0697    0.0903    0.0639    0.8327    0.0530    0.0321    0.0321
   -0.0833    0.0992   -0.0302    1.0838   -0.0692    0.0142    0.0363
   -0.0325    0.0819   -0.0787    1.1705   -0.0866   -0.0058   -0.0007
   -0.0001    0.0613   -0.0591    1.1431   -0.0025   -0.0231   -0.0859
    0.1455    0.0187   -0.0256    0.1745    0.7535   -0.0690   -0.0751
    0.0100   -0.0751    0.0656    0.0271    0.9573   -0.0521   -0.0209
   -0.0124   -0.0852   -0.0110    0.0042    1.1139   -0.0580   -0.0625
   -0.0285   -0.0917    0.0216   -0.0135    1.0895   -0.0527   -0.0290
   -0.0323   -0.0931    0.0292   -0.0172    1.0846   -0.0516   -0.0224
   -0.0526    0.0173    0.1521    0.0694   -0.0680    0.7765    0.1049
   -0.0160   -0.0149   -0.0169   -0.0292   -0.0005    1.0231    0.0152
    0.0005   -0.0203   -0.0240   -0.0265   -0.0087    1.0680   -0.0336
    0.0068   -0.0223   -0.0368   -0.0284   -0.0048    1.0697   -0.0302
   -0.0131   -0.0153   -0.0457   -0.0331   -0.0095    1.0922   -0.0212
    0.0059    0.0385   -0.0240    0.0403    0.0436    0.0613    0.8856
   -0.0256   -0.0074    0.0406   -0.0676    0.0874    0.0362    0.9913
    0.0069    0.0105    0.0126   -0.0569    0.0204    0.0264    1.0397
    0.0352    0.0160   -0.0072   -0.0438   -0.0205    0.0219    1.0584
    0.0792    0.0281   -0.0508   -0.0108   -0.0782    0.0175    1.0757


res =

    0.7665

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.8330    0.1186    0.0866   -0.0004    0.0375   -0.0024    0.0627
    1.0380   -0.0604    0.0492    0.0201   -0.0611   -0.0042    0.0207
    1.0487   -0.0460    0.0003    0.0250   -0.0444   -0.0109   -0.0076
    1.0338    0.0008   -0.0512    0.0176   -0.0345    0.0004   -0.0038
    1.0059    0.0524   -0.1344   -0.0442    0.0691   -0.0425   -0.0369
    0.1064    0.5852    0.0786    0.1928    0.0035   -0.0140    0.1119
    0.1241    0.8077    0.0394    0.0935   -0.0284    0.0041    0.0388
    0.1195    0.9490    0.0031    0.0188   -0.0173    0.0062   -0.0228
    0.0641    1.0789   -0.0994   -0.0199    0.0442   -0.0253   -0.1207
   -0.0710    1.0659   -0.1663   -0.1342    0.1350   -0.1606   -0.1988
   -0.0691    0.0210    0.6529   -0.1489    0.2482    0.0355    0.2239
   -0.0135   -0.0540    0.9183   -0.1177    0.0834    0.1014    0.0710
    0.0557    0.0008    1.0809    0.0393   -0.1127    0.0285   -0.0666
    0.0271   -0.0686    1.1025   -0.0006   -0.0557    0.0650   -0.0591
   -0.1097   -0.0488    1.0256   -0.1062    0.2534   -0.0592   -0.0371
    0.0154    0.2098    0.0187    0.4830    0.2451   -0.0280    0.0753
    0.0277    0.1030   -0.0573    0.7166    0.1401    0.0328    0.0572
    0.0806   -0.0050   -0.1331    1.0253   -0.0465    0.0708    0.0442
    0.0523   -0.0773   -0.1184    1.2037   -0.1244    0.0810   -0.0157
   -0.0726    0.0135   -0.0950    1.2496    0.0187   -0.0172   -0.1675
   -0.0621    0.1561    0.1005    0.2581    0.6580   -0.0983   -0.0174
   -0.0393   -0.0093    0.0772    0.1094    0.8691    0.0464   -0.0629
    0.0371   -0.0803    0.0085    0.0091    1.0498    0.0249   -0.0466
    0.0967   -0.1283    0.0059   -0.0728    1.1266    0.0021   -0.0443
    0.1240   -0.1322   -0.0013   -0.1146    1.2008   -0.0542   -0.0577
    0.0555   -0.0740    0.0179    0.1010   -0.1516    0.9668    0.0974
   -0.0064    0.0243   -0.0066    0.0172   -0.0436    1.0367   -0.0086
   -0.0352    0.0507   -0.0055   -0.0087    0.0181    1.0245   -0.0370
   -0.0462    0.0528   -0.0020   -0.0392    0.0481    1.0173   -0.0277
   -0.0506    0.0550   -0.0003   -0.0455    0.0578    1.0135   -0.0296
    0.0326    0.0756    0.1535    0.0269   -0.0837    0.1048    0.7061
    0.0097    0.0923    0.0943   -0.1287   -0.0490    0.0915    0.9130
   -0.0556    0.0921   -0.0036   -0.0794    0.0324    0.0259    0.9765
   -0.0737   -0.0397   -0.0056    0.0246    0.0180   -0.0021    1.0304
   -0.0776   -0.1399    0.0060    0.1118   -0.0107   -0.0159    1.0533


res =

    1.0879

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    0.9637    0.0376    0.1231    0.0431    0.0047   -0.1114   -0.0447
    1.0485    0.0260   -0.0367   -0.0336   -0.0004    0.0198   -0.0229
    1.0493   -0.0209   -0.0457   -0.0232   -0.0003    0.0297    0.0082
    1.0427   -0.0557   -0.0149    0.0013    0.0005    0.0032    0.0181
    1.0414   -0.0662    0.0107    0.0076    0.0012    0.0134   -0.0222
   -0.0371    0.6034   -0.1445    0.0786    0.1330    0.1074    0.1833
   -0.0310    0.8495   -0.1359    0.0614    0.1195    0.0719    0.0189
    0.0021    1.0123   -0.0663    0.0143    0.0505    0.0224   -0.0285
    0.0165    1.0976   -0.0581    0.0126    0.0077   -0.0468    0.0099
    0.0424    1.1866    0.0814   -0.0590   -0.0636   -0.1235    0.0042
   -0.0269    0.0102    0.8255    0.0285    0.0964    0.0468    0.0206
   -0.0987   -0.0854    1.0801    0.1798    0.1344   -0.1313   -0.0352
   -0.0001   -0.0348    1.0355   -0.0258    0.0174    0.0913   -0.0462
   -0.0215   -0.0450    1.0453   -0.0306    0.0137    0.0291    0.0213
   -0.0203   -0.0620    1.0832   -0.0728    0.0143   -0.1619    0.1443
    0.0115    0.1190    0.0278    0.7266    0.0381    0.2021   -0.1118
   -0.0544    0.0823   -0.1046    0.9382   -0.0119    0.1139    0.0614
    0.0012   -0.0053   -0.0162    1.0603   -0.0217   -0.0270    0.0231
    0.0872   -0.0442    0.0572    1.0426   -0.0305   -0.0691   -0.0320
    0.1710   -0.0630    0.1408    1.0210   -0.0399   -0.1072   -0.1068
   -0.0816   -0.0090    0.0420    0.0601    0.8380   -0.0611   -0.1394
   -0.0748   -0.0228   -0.0121    0.0349    1.0271   -0.0161   -0.0608
    0.0855    0.0342    0.0607    0.0460    1.0439   -0.0330   -0.0262
    0.0873    0.0045    0.0698    0.0464    1.0560   -0.0320    0.0096
    0.1140   -0.0158    0.1198    0.0536    1.0551   -0.0655   -0.0040
   -0.0096    0.1752    0.0596    0.1087   -0.0565    0.6695    0.0903
   -0.0209    0.0171   -0.0317    0.0363   -0.0421    0.9668    0.0828
   -0.0235   -0.0362    0.0018    0.0260   -0.0338    1.0583    0.0015
   -0.0292   -0.0643   -0.0109    0.0402   -0.0264    1.0763    0.0010
   -0.0319   -0.0810   -0.0116    0.0506   -0.0227    1.0901   -0.0122
    0.0542    0.1520    0.0071   -0.1233   -0.0113    0.0586    0.9136
    0.0087    0.0676    0.0378   -0.0699    0.0107   -0.0496    1.0358
    0.0082   -0.0151    0.0283    0.0158    0.0304   -0.0882    1.0483
   -0.0005   -0.0240    0.0124    0.0245    0.0293   -0.0257    1.0054
    0.0042   -0.0110    0.0257    0.0051    0.0198    0.0424    0.9317


res =

    0.7402

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 155 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 166 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 168 

ans =

    1.0607    0.0111    0.0103   -0.0219    0.0700   -0.0957   -0.0813
    1.0178   -0.0044   -0.0021    0.0132   -0.0127    0.0096   -0.0203
    1.0084   -0.0091   -0.0032    0.0195   -0.0224    0.0244   -0.0103
    1.0166   -0.0137   -0.0006    0.0284   -0.0227    0.0137   -0.0191
    1.0219   -0.0008   -0.0088    0.0014   -0.0110    0.0207   -0.0191
    0.0413    0.8024   -0.0564   -0.0192    0.1658   -0.1021    0.0581
   -0.0253    1.0638    0.0135   -0.0730   -0.0175   -0.0558    0.0608
   -0.0007    1.0867    0.0207   -0.0756   -0.0261   -0.0117    0.0096
    0.0226    1.1636    0.0113   -0.1680   -0.0231    0.0025   -0.0082
    0.0423    0.9977    0.0078    0.0172   -0.0155    0.0476   -0.0568
    0.0382   -0.0178    0.9017    0.1093    0.0761   -0.1039    0.0001
    0.0246   -0.0485    1.0809    0.1413    0.0276   -0.1632   -0.0778
   -0.0232   -0.0563    1.0810   -0.0083    0.0175    0.0242   -0.0250
   -0.0424    0.0141    1.0388    0.0073   -0.0406    0.0261   -0.0448
    0.0128    0.1704    0.9000    0.0014   -0.1482    0.0187   -0.0791
    0.0518    0.0490    0.0559    0.7908    0.0045    0.1190   -0.0795
    0.0453   -0.0085    0.0520    0.9955    0.0024   -0.0193   -0.0907
    0.0145   -0.0141    0.0135    1.0650    0.0174   -0.0626   -0.0521
   -0.0622    0.0082   -0.0339    1.0368    0.0368   -0.0042    0.0341
   -0.1517    0.0309   -0.0654    0.9730    0.0579    0.0838    0.1272
   -0.0586    0.0658    0.0331    0.0550    0.8848   -0.0440    0.0392
    0.0130   -0.0001   -0.0033   -0.0323    1.0840   -0.0252   -0.0385
    0.0244    0.0057   -0.0387   -0.0433    1.1005   -0.0003   -0.0407
    0.0093    0.0165   -0.0391   -0.0285    1.0565    0.0259   -0.0193
   -0.0492    0.0406   -0.0326    0.0311    0.9284    0.0857    0.0471
    0.0812   -0.0341   -0.0390   -0.0551    0.0540    1.1635   -0.0002
    0.0759   -0.1010    0.0428   -0.0015   -0.0217    0.9971    0.0587
    0.0107   -0.0223    0.0135    0.0209   -0.0214    0.9456    0.0237
   -0.0396    0.0413   -0.0211    0.0071   -0.0120    0.9622    0.0035
   -0.0639    0.0700   -0.0386   -0.0038   -0.0078    0.9792   -0.0027
   -0.0185   -0.0507    0.1550   -0.0850    0.1007   -0.0174    0.9294
    0.0436   -0.0817    0.0613   -0.0187    0.0206   -0.0310    1.0249
    0.0468   -0.0524    0.0015    0.0029   -0.0246    0.0013    1.0459
    0.0187    0.0444   -0.0634    0.0063   -0.0618    0.0219    1.0423
   -0.0076    0.1176   -0.0977   -0.0006   -0.0856    0.0334    1.0396


res =

    0.5447

>> qitishibiechengxu

resSet =

     []

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    1.0091   -0.0129    0.0361   -0.0023    0.0000    0.0003   -0.0304
    1.0191   -0.0094    0.0035    0.0001    0.0085   -0.0022   -0.0196
    1.0200   -0.0047   -0.0195    0.0001    0.0163   -0.0024   -0.0098
    1.0202   -0.0052   -0.0161   -0.0016    0.0150   -0.0009   -0.0114
    1.0203   -0.0065   -0.0080   -0.0035    0.0120    0.0007   -0.0150
   -0.0040    0.3085    0.1190   -0.1174    0.2825    0.1034    0.3080
   -0.0028    0.3167    0.1002   -0.1208    0.2950    0.0889    0.3227
   -0.0036    0.3179    0.0792   -0.1028    0.3040    0.0720    0.3333
   -0.0033    0.3185    0.0799   -0.1060    0.3036    0.0744    0.3329
   -0.0022    0.3163    0.1072   -0.1246    0.2929    0.0902    0.3202
   -0.0054    0.0966    0.9967    0.0059   -0.0130   -0.0113   -0.0694
   -0.0116    0.0976    1.0030    0.0050   -0.0129   -0.0116   -0.0694
   -0.0105    0.0972    1.0031    0.0049   -0.0133   -0.0116   -0.0699
   -0.0106    0.0972    1.0032    0.0049   -0.0133   -0.0116   -0.0699
   -0.0108    0.0973    1.0032    0.0049   -0.0133   -0.0116   -0.0698
    0.0069   -0.0869    0.0333    0.9408    0.0574    0.0106    0.0380
   -0.0036   -0.1081    0.0279    1.0095    0.0479   -0.0001    0.0264
    0.0048   -0.1191   -0.0177    1.0542    0.0491   -0.0002    0.0289
    0.0120   -0.1135   -0.0111    1.0317    0.0509   -0.0008    0.0308
    0.0034   -0.1012    0.0216    0.9915    0.0534   -0.0019    0.0331
    0.0827    0.2661   -0.0706    0.0945    0.3149   -0.0330    0.3454
    0.0263    0.2996   -0.0357    0.0445    0.3391   -0.0467    0.3729
    0.0286    0.3018   -0.0413    0.0407    0.3417   -0.0475    0.3760
    0.0076    0.3024   -0.0080    0.0379    0.3375   -0.0475    0.3702
    0.0028    0.2951    0.0347    0.0364    0.3240   -0.0462    0.3532
    0.0085    0.0840    0.0972   -0.1009   -0.0857    1.0858   -0.0890
    0.0055    0.0886    0.0570   -0.0830   -0.0715    1.0749   -0.0716
   -0.0033    0.0894   -0.0662    0.0463   -0.0198    0.9653   -0.0117
   -0.0051    0.0894   -0.0829    0.0653   -0.0125    0.9492   -0.0034
    0.0050    0.0888    0.0829   -0.1091   -0.0817    1.0976   -0.0835
   -0.0132    0.3212   -0.0642    0.0310    0.3612   -0.0362    0.4003
   -0.0121    0.3229   -0.0704    0.0335    0.3653   -0.0443    0.4050
   -0.0120    0.3230   -0.0708    0.0336    0.3656   -0.0446    0.4052
   -0.0120    0.3230   -0.0707    0.0335    0.3655   -0.0446    0.4052
   -0.0120    0.3230   -0.0705    0.0333    0.3655   -0.0444    0.4052


res =

    2.2363

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    0.6927   -0.1853    0.2889   -0.1852    0.0274    0.2550    0.1066
    0.6670   -0.1745    0.3143   -0.1511    0.0192    0.2191    0.1061
    0.6698   -0.1744    0.3146   -0.1565    0.0201    0.2173    0.1091
    0.6754   -0.1760    0.3111   -0.1647    0.0218    0.2215    0.1109
    0.6871   -0.1802    0.3025   -0.1809    0.0253    0.2332    0.1130
   -0.1600    0.5620   -0.0300    0.0896    0.0026    0.0985    0.4373
   -0.2034    0.5813   -0.0505    0.1507   -0.0305    0.1390    0.4136
   -0.2006    0.5928   -0.0385    0.1312   -0.0319    0.1102    0.4368
   -0.2022    0.6087   -0.0205    0.1188   -0.0420    0.0755    0.4618
   -0.1855    0.6099   -0.0135    0.0818   -0.0280    0.0509    0.4844
    0.3575   -0.1099    0.4717    0.1703    0.1918   -0.1274    0.0459
    0.5739   -0.3214    0.3451   -0.0191    0.4043    0.0826   -0.0652
    0.3042   -0.0122    0.6356    0.3012   -0.0792   -0.2609    0.1112
    0.3103   -0.0124    0.6352    0.2937   -0.0827   -0.2589    0.1148
    0.3240   -0.0288    0.6054    0.2921   -0.0828   -0.2022    0.0923
   -0.1800    0.1350    0.2930    0.7846    0.0066    0.1035   -0.1427
   -0.1924    0.1521    0.2920    0.7734    0.0165    0.0824   -0.1239
   -0.1551    0.1024    0.2843    0.8189   -0.0385    0.1770   -0.1890
   -0.1480    0.1099    0.2843    0.8005   -0.0453    0.1722   -0.1736
   -0.1537    0.0927    0.2840    0.8044    0.0039    0.1577   -0.1891
    0.0428   -0.0274   -0.0649   -0.0104    1.0162    0.0258    0.0183
    0.0108   -0.0178   -0.0354    0.0305    1.0170   -0.0205    0.0154
    0.0142   -0.0227   -0.0293    0.0330    1.0166   -0.0245    0.0125
    0.0253   -0.0334   -0.0252    0.0304    1.0176   -0.0221    0.0070
    0.0357   -0.0409   -0.0263    0.0235    1.0188   -0.0158    0.0045
    0.2077    0.0938   -0.2535    0.1629   -0.0157    0.8490   -0.0443
    0.2260    0.0896   -0.2483    0.1371   -0.0115    0.8396   -0.0325
    0.2272    0.0895   -0.2478    0.1352   -0.0112    0.8385   -0.0314
    0.2293    0.0902   -0.2459    0.1306   -0.0106    0.8342   -0.0279
    0.2305    0.0912   -0.2442    0.1271   -0.0101    0.8304   -0.0247
    0.1351    0.4292    0.0957   -0.1953    0.0215   -0.0108    0.5245
    0.0348    0.4955    0.1065   -0.1342    0.0322   -0.0833    0.5485
    0.1522    0.4166    0.1000   -0.2068    0.0256   -0.0099    0.5222
    0.1872    0.3876    0.1033   -0.2228    0.0285    0.0073    0.5090
    0.2102    0.3644    0.1127   -0.2268    0.0310    0.0123    0.4962


res =

    2.2600

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    0.9930    0.0164    0.0268   -0.0170   -0.0406    0.0270   -0.0055
    1.0131   -0.0031    0.0081   -0.0229   -0.0001    0.0084   -0.0034
    1.0159   -0.0057    0.0011   -0.0077   -0.0066    0.0056   -0.0026
    1.0162   -0.0054   -0.0009   -0.0002   -0.0130    0.0052   -0.0020
    1.0168   -0.0060   -0.0025    0.0033   -0.0145    0.0047   -0.0018
    0.0455    1.0533   -0.0212   -0.0241   -0.0133   -0.0442    0.0040
    0.0083    1.0690   -0.0187   -0.0099   -0.0364   -0.0076   -0.0047
   -0.0123    1.0419   -0.0107    0.0045   -0.0301    0.0126   -0.0059
   -0.0240    1.0471   -0.0025    0.0246   -0.0667    0.0239   -0.0023
   -0.0464    1.0313    0.0203    0.0277   -0.0774    0.0457   -0.0012
   -0.0735    0.0126    1.0204   -0.0580    0.0446    0.0596   -0.0058
    0.0155    0.0847    1.0131   -0.0718    0.0019   -0.0320   -0.0114
    0.0140    0.0093    1.0185    0.0283   -0.0365   -0.0203   -0.0132
    0.0327    0.0278    1.0143   -0.0313    0.0103   -0.0372   -0.0166
    0.0231   -0.0167    1.0192   -0.0254    0.0410   -0.0192   -0.0220
    0.0360    0.0082   -0.0032    0.9929    0.0051   -0.0311   -0.0079
   -0.0216    0.0448   -0.0140    1.0043   -0.0263    0.0155   -0.0027
   -0.0152   -0.0506   -0.0101    1.0502    0.0210    0.0077   -0.0030
   -0.0274   -0.0239   -0.0103    1.0182    0.0101    0.0196    0.0137
   -0.0332   -0.0148   -0.0104    0.9985    0.0066    0.0253    0.0280
    0.0214   -0.1549    0.0045    0.0629    1.0565   -0.0215    0.0310
   -0.0059   -0.0317   -0.0073   -0.0224    1.0292    0.0064    0.0317
   -0.0056   -0.0175   -0.0094    0.0422    0.9705    0.0057    0.0139
   -0.0024    0.0102   -0.0105    0.0282    0.9911    0.0030   -0.0197
    0.0010    0.0091   -0.0107    0.0510    0.9828   -0.0004   -0.0328
   -0.0015   -0.0057    0.0056   -0.0186   -0.0008    1.0146    0.0065
    0.0036   -0.0115   -0.0107   -0.0143    0.0172    1.0121    0.0035
    0.0028   -0.0086   -0.0130    0.0020   -0.0014    1.0129    0.0053
    0.0026   -0.0079   -0.0135    0.0059   -0.0060    1.0131    0.0058
    0.0023   -0.0073   -0.0136    0.0084   -0.0092    1.0133    0.0061
    0.0081    0.0193   -0.0115    0.0067   -0.0264   -0.0060    1.0098
    0.0027   -0.0023   -0.0191    0.0103   -0.0008   -0.0077    1.0169
   -0.0006   -0.0044   -0.0077    0.0055   -0.0057   -0.0045    1.0173
   -0.0043   -0.0032    0.0054    0.0010   -0.0164   -0.0014    1.0188
   -0.0002    0.0146    0.0084    0.0054   -0.0442   -0.0057    1.0218


res =

    0.2701

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    1.0247   -0.0306   -0.0415   -0.0075    0.0462    0.0135   -0.0049
    1.0219    0.0080   -0.0256    0.0029   -0.0193    0.0027    0.0090
    0.9934   -0.0194    0.0300    0.0019   -0.0130    0.0036    0.0033
    1.0172    0.0044   -0.0077   -0.0010   -0.0278    0.0038    0.0110
    1.0238    0.0061   -0.0156   -0.0031   -0.0294    0.0048    0.0133
    0.0529    0.9443    0.0088    0.0012    0.1889   -0.0770   -0.1194
   -0.0352    1.0508    0.0081    0.0037    0.1013   -0.0396   -0.0891
   -0.0501    1.0605   -0.0048    0.0020    0.0376   -0.0026   -0.0424
   -0.0480    1.0576   -0.0359   -0.0003   -0.1070    0.1057    0.0286
   -0.0393    0.9323   -0.0467   -0.0043   -0.1609    0.2286    0.0916
    0.0123    0.0358    0.8755    0.0043   -0.0516   -0.0311    0.1550
    0.0019   -0.2025    0.9172    0.0021    0.0202   -0.0123    0.2734
    0.0212   -0.0550    1.0434   -0.0056    0.0460    0.0174   -0.0670
   -0.0389    0.0226    1.0260   -0.0059   -0.0092    0.0033    0.0022
   -0.0609    0.0832    0.9961   -0.0078   -0.0375    0.0229    0.0040
    0.0094    0.0201   -0.0321    0.9910    0.0067    0.0068   -0.0178
    0.0282    0.0577   -0.0465    1.0120   -0.0264   -0.0418    0.0027
   -0.0194   -0.0146    0.0380    1.0191    0.0040   -0.0290   -0.0028
   -0.0009   -0.0224    0.0039    1.0237   -0.0042    0.0015    0.0216
    0.0257   -0.0369   -0.0449    1.0294   -0.0114    0.0466    0.0524
    0.0034   -0.0081    0.0022    0.0009    0.9831    0.0043    0.0141
   -0.0347    0.0327   -0.0001    0.0027    0.9858   -0.0022    0.0158
   -0.0316    0.0254    0.0014    0.0028    1.0000   -0.0011    0.0036
   -0.0217    0.0035    0.0041    0.0025    1.0150    0.0018   -0.0046
   -0.0179   -0.0041    0.0055    0.0025    1.0222    0.0030   -0.0101
    0.0012    0.0058    0.0033   -0.0217   -0.0049    1.0035    0.0137
    0.0087   -0.0021    0.0037   -0.0280    0.0007    1.0116    0.0060
    0.0029    0.0079   -0.0119    0.0020   -0.0007    1.0044   -0.0045
    0.0101   -0.0063   -0.0078   -0.0023    0.0065    1.0067   -0.0069
    0.0037    0.0028   -0.0138    0.0082    0.0019    1.0022   -0.0054
    0.0464   -0.0505   -0.0256   -0.0028    0.0247    0.0053    1.0015
    0.0357    0.0408   -0.0845   -0.0031    0.1813   -0.0018    0.8309
   -0.0137    0.0114   -0.0197    0.0003   -0.0106   -0.0021    1.0344
   -0.0307    0.0217   -0.0131    0.0013   -0.0490   -0.0012    1.0720
   -0.0302    0.0336   -0.0240    0.0011   -0.0762    0.0012    1.0967


res =

    0.5501

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    1.1219   -0.0405   -0.0539   -0.0600   -0.0094    0.0157    0.0261
    1.0677   -0.0169   -0.0198   -0.0418   -0.0042    0.0063    0.0088
    0.9831    0.0059   -0.0012    0.0121   -0.0157    0.0137    0.0021
    0.9294    0.0373    0.0199    0.0305   -0.0345    0.0206   -0.0033
    1.0341    0.0219    0.0003   -0.0385   -0.0203   -0.0069    0.0094
   -0.0151    1.0458   -0.1805    0.0016    0.0718    0.0078    0.0686
    0.0166    1.0141    0.0466    0.0042   -0.0445   -0.0219   -0.0151
    0.0063    1.0061    0.0940    0.0143   -0.0746   -0.0143   -0.0319
   -0.0052    1.0314    0.0075   -0.0073   -0.0407    0.0196   -0.0053
   -0.0016    1.0245   -0.1807    0.0010    0.0641    0.0392    0.0535
   -0.0320    0.0168    0.9711    0.0061    0.0557   -0.0421    0.0244
   -0.0669    0.0927    0.9766   -0.0433    0.0498   -0.0498    0.0408
    0.0314    0.0125    1.0319   -0.0460   -0.0215    0.0145   -0.0228
   -0.0384    0.0587    0.9861   -0.0224    0.0053    0.0176   -0.0069
   -0.0716    0.0046    0.9204    0.0896   -0.0247    0.0531    0.0285
    0.0493   -0.0112   -0.0612    1.0171   -0.0451    0.0034    0.0476
   -0.0021   -0.0047   -0.0053    1.0211   -0.0082   -0.0050    0.0043
   -0.0252   -0.0147    0.0013    1.0317    0.0036    0.0104   -0.0071
    0.0003   -0.0114    0.0188    1.0022    0.0305   -0.0182   -0.0221
    0.0317   -0.0130    0.0153    0.9798    0.0594   -0.0477   -0.0256
   -0.0124   -0.2354    0.0716    0.2796    1.0599   -0.0892   -0.0741
   -0.0096   -0.1264    0.0263    0.1361    1.0159   -0.0437    0.0014
    0.0250   -0.0667    0.0085    0.0487    0.9587   -0.0144    0.0401
   -0.0088    0.0249   -0.0137   -0.0145    0.9860    0.0016    0.0244
   -0.0387   -0.1991    0.1789    0.2675    0.9131   -0.1627    0.0411
    0.0620   -0.0593   -0.0876   -0.0251    0.0195    1.0435    0.0470
   -0.1027    0.0175   -0.0104    0.0215   -0.0370    1.0924    0.0188
   -0.0369   -0.0106    0.0247    0.0247   -0.0181    1.0298   -0.0137
    0.0685   -0.0116    0.0291   -0.0298    0.0048    0.9733   -0.0343
   -0.0293    0.0365   -0.1072    0.0454   -0.0103    0.9901    0.0749
    0.0301   -0.0136   -0.0462   -0.0037   -0.0194    0.0058    1.0470
   -0.0032    0.0005   -0.0010   -0.0115   -0.0053    0.0043    1.0162
   -0.0183    0.0008    0.0150    0.0018   -0.0007   -0.0022    1.0037
   -0.0118   -0.0045    0.0071   -0.0009    0.0027   -0.0008    1.0080
   -0.0097   -0.0081    0.0040    0.0003    0.0052   -0.0010    1.0093


res =

    0.6285

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    1.0385    0.0294   -0.0187   -0.1061    0.0313   -0.0326    0.0586
    0.9080    0.1336   -0.0440   -0.0325    0.0531   -0.0237    0.0058
    0.9732    0.0252   -0.0083    0.0336    0.0195   -0.0059   -0.0369
    1.0797   -0.0899    0.0275    0.0502   -0.0082    0.0024   -0.0615
    1.2360   -0.2288    0.0849    0.0353   -0.0507    0.0101   -0.0864
   -0.0320    1.0360    0.0545   -0.0196    0.0061   -0.0456    0.0004
    0.0117    1.0155    0.0103   -0.0025   -0.0011    0.0035   -0.0373
    0.0176    1.0157   -0.0239   -0.0011    0.0035    0.0062   -0.0178
    0.0193    1.0167   -0.0367    0.0056   -0.0008   -0.0056    0.0019
    0.0092    1.0193   -0.0150    0.0359   -0.0418   -0.0278    0.0208
    0.0212   -0.0643    1.1038    0.0192   -0.0292    0.0047   -0.0596
   -0.0082   -0.0399    1.1259    0.0356   -0.0975    0.0446   -0.0593
   -0.0115    0.0249    0.9818   -0.0232    0.0371    0.0007   -0.0088
   -0.0154    0.0359    0.9919   -0.0193   -0.0137    0.0255    0.0008
    0.0123    0.0299    0.9690   -0.0384   -0.0251    0.0568    0.0055
   -0.0038   -0.0460   -0.0339    0.9456    0.0516    0.0527    0.0330
    0.0069   -0.0158   -0.0088    1.0236   -0.0300    0.0196    0.0047
    0.0510    0.0084    0.0134    1.0182   -0.1085    0.0442   -0.0259
    0.0527    0.0311    0.0202    0.9992   -0.1093    0.0412   -0.0343
    0.0133    0.0904    0.0245    0.9545   -0.0389   -0.0063   -0.0369
   -0.0720    0.0024    0.0024    0.1415    1.0244   -0.1110    0.0055
   -0.0270   -0.0024   -0.0118    0.0133    1.0352   -0.0120    0.0049
   -0.0069   -0.0184   -0.0284    0.0240    1.0254   -0.0063    0.0132
   -0.0077   -0.0232   -0.0332    0.0433    1.0143   -0.0098    0.0200
    0.0684   -0.0384    0.0059   -0.0617    0.9966    0.0536   -0.0194
   -0.0898    0.0510    0.0435    0.0058   -0.0458    1.0224    0.0130
    0.0129   -0.0141    0.0499    0.0102   -0.0480    1.0077   -0.0188
    0.0159   -0.0075    0.0086   -0.0029   -0.0047    1.0099   -0.0192
    0.0317   -0.0148   -0.0047   -0.0043    0.0091    1.0048   -0.0217
    0.0930   -0.0557    0.0076    0.0061   -0.0004    0.9872   -0.0380
    0.0159   -0.0256    0.0323    0.0012    0.0177   -0.0336    0.9919
    0.0316   -0.0116   -0.0116   -0.0490    0.0643   -0.0313    1.0073
   -0.0034   -0.0068   -0.0111   -0.0103    0.0005    0.0116    1.0197
    0.0103   -0.0012   -0.0271   -0.0325    0.0288    0.0012    1.0206
   -0.0002   -0.0039   -0.0152   -0.0170    0.0052    0.0114    1.0198


res =

    0.4894

Warning: NEWFF used in an obsolete way. 
> In obs_use at 18
  In newff>create_network at 127
  In newff at 102
  In qitishibiechengxu at 156 
          See help for NEWFF to update calls to the new argument list.
 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 167 
Warning: 'mu_max' is not a legal parameter. 
> In param>do_test at 63
  In param at 6
  In network.subsasgn>setTrainParam at 2024
  In network.subsasgn>network_subsasgn at 466
  In network.subsasgn at 13
  In qitishibiechengxu at 169 

ans =

    0.9716   -0.1083    0.0567    0.0925   -0.0428   -0.0072    0.0424
    0.9955   -0.0416    0.0257    0.0303   -0.0214   -0.0027    0.0198
    1.0128    0.0006    0.0015   -0.0089   -0.0021    0.0011   -0.0003
    0.9981   -0.0324    0.0202    0.0311   -0.0230    0.0007    0.0153
    1.0336    0.0486   -0.0312   -0.0511    0.0241    0.0156   -0.0357
    0.0032    1.1282   -0.0270   -0.0440   -0.0340   -0.0342    0.0109
    0.0165    0.9929   -0.0476    0.0595    0.0078   -0.0050   -0.0166
    0.0109    0.9625   -0.0228    0.0529    0.0193   -0.0008   -0.0187
   -0.0020    0.9690    0.0150    0.0285    0.0107   -0.0103   -0.0129
   -0.0245    1.0117    0.0715   -0.0242   -0.0179   -0.0267    0.0008
   -0.0047    0.0456    0.9947   -0.0374    0.0150   -0.0206   -0.0030
   -0.0068   -0.0723    1.0237    0.0079    0.0341    0.0101    0.0053
   -0.0003   -0.0163    1.0207   -0.0093    0.0139    0.0029   -0.0051
    0.0049   -0.0190    1.0103   -0.0065    0.0226    0.0076   -0.0097
    0.0117    0.0160    0.9985   -0.0077    0.0149    0.0038   -0.0213
    0.0109    0.0054   -0.0081    1.0651   -0.0119   -0.0321    0.0176
    0.0031    0.0105   -0.0388    1.0492   -0.0098    0.0027    0.0076
    0.0012   -0.0190   -0.0108    1.0157   -0.0153    0.0063    0.0061
    0.0025   -0.0232    0.0025    0.9817   -0.0056   -0.0043    0.0109
   -0.0009   -0.0189    0.0103    0.9654   -0.0012   -0.0058    0.0083
   -0.0046    0.0563    0.0360    0.0454    0.9255   -0.0613   -0.0082
    0.0101   -0.0137    0.0172    0.0079    1.0071   -0.0210   -0.0099
   -0.0044    0.0443    0.0165    0.0023    0.9852   -0.0502   -0.0002
    0.0065   -0.0560    0.0078    0.0020    1.0395    0.0030    0.0012
    0.0115   -0.1120    0.0131    0.0157    1.0540    0.0250    0.0016
   -0.0390   -0.0101   -0.0305    0.0005    0.0181    1.0343    0.0371
    0.0635   -0.0133   -0.0316   -0.0365    0.0215    0.9393    0.0529
    0.0204    0.0003    0.0036   -0.0101   -0.0230    1.0095   -0.0115
    0.0148    0.0112    0.0159   -0.0140   -0.0253    1.0014   -0.0137
    0.0144    0.0187    0.0165   -0.0265   -0.0130    0.9805    0.0032
    0.0127   -0.0111   -0.0099    0.0144    0.0214   -0.0349    1.0302
   -0.0128   -0.0119   -0.0020    0.0244   -0.0099   -0.0209    1.0411
   -0.0004   -0.0043   -0.0156   -0.0034    0.0034    0.0028    1.0165
    0.0006   -0.0215   -0.0210   -0.0295    0.0260    0.0325    1.0037
    0.0034   -0.0296   -0.0251   -0.0509    0.0428    0.0522    0.9919


res =

    0.2969

>> cc=ans

cc =

    0.9716   -0.1083    0.0567    0.0925   -0.0428   -0.0072    0.0424
    0.9955   -0.0416    0.0257    0.0303   -0.0214   -0.0027    0.0198
    1.0128    0.0006    0.0015   -0.0089   -0.0021    0.0011   -0.0003
    0.9981   -0.0324    0.0202    0.0311   -0.0230    0.0007    0.0153
    1.0336    0.0486   -0.0312   -0.0511    0.0241    0.0156   -0.0357
    0.0032    1.1282   -0.0270   -0.0440   -0.0340   -0.0342    0.0109
    0.0165    0.9929   -0.0476    0.0595    0.0078   -0.0050   -0.0166
    0.0109    0.9625   -0.0228    0.0529    0.0193   -0.0008   -0.0187
   -0.0020    0.9690    0.0150    0.0285    0.0107   -0.0103   -0.0129
   -0.0245    1.0117    0.0715   -0.0242   -0.0179   -0.0267    0.0008
   -0.0047    0.0456    0.9947   -0.0374    0.0150   -0.0206   -0.0030
   -0.0068   -0.0723    1.0237    0.0079    0.0341    0.0101    0.0053
   -0.0003   -0.0163    1.0207   -0.0093    0.0139    0.0029   -0.0051
    0.0049   -0.0190    1.0103   -0.0065    0.0226    0.0076   -0.0097
    0.0117    0.0160    0.9985   -0.0077    0.0149    0.0038   -0.0213
    0.0109    0.0054   -0.0081    1.0651   -0.0119   -0.0321    0.0176
    0.0031    0.0105   -0.0388    1.0492   -0.0098    0.0027    0.0076
    0.0012   -0.0190   -0.0108    1.0157   -0.0153    0.0063    0.0061
    0.0025   -0.0232    0.0025    0.9817   -0.0056   -0.0043    0.0109
   -0.0009   -0.0189    0.0103    0.9654   -0.0012   -0.0058    0.0083
   -0.0046    0.0563    0.0360    0.0454    0.9255   -0.0613   -0.0082
    0.0101   -0.0137    0.0172    0.0079    1.0071   -0.0210   -0.0099
   -0.0044    0.0443    0.0165    0.0023    0.9852   -0.0502   -0.0002
    0.0065   -0.0560    0.0078    0.0020    1.0395    0.0030    0.0012
    0.0115   -0.1120    0.0131    0.0157    1.0540    0.0250    0.0016
   -0.0390   -0.0101   -0.0305    0.0005    0.0181    1.0343    0.0371
    0.0635   -0.0133   -0.0316   -0.0365    0.0215    0.9393    0.0529
    0.0204    0.0003    0.0036   -0.0101   -0.0230    1.0095   -0.0115
    0.0148    0.0112    0.0159   -0.0140   -0.0253    1.0014   -0.0137
    0.0144    0.0187    0.0165   -0.0265   -0.0130    0.9805    0.0032
    0.0127   -0.0111   -0.0099    0.0144    0.0214   -0.0349    1.0302
   -0.0128   -0.0119   -0.0020    0.0244   -0.0099   -0.0209    1.0411
   -0.0004   -0.0043   -0.0156   -0.0034    0.0034    0.0028    1.0165
    0.0006   -0.0215   -0.0210   -0.0295    0.0260    0.0325    1.0037
    0.0034   -0.0296   -0.0251   -0.0509    0.0428    0.0522    0.9919

>> shai
Maximum recursion limit of 500 reached. Use set(0,'RecursionLimit',N)
to change the limit.  Be aware that exceeding your available stack space can
crash MATLAB and/or your computer.

Error in shai

 
>> shai
Maximum recursion limit of 500 reached. Use set(0,'RecursionLimit',N)
to change the limit.  Be aware that exceeding your available stack space can
crash MATLAB and/or your computer.

Error in shai

 
>> shai
>> cc=ans

cc =

    0.9716   -0.1083    0.0567    0.0925   -0.0428   -0.0072    0.0424
    0.9955   -0.0416    0.0257    0.0303   -0.0214   -0.0027    0.0198
    1.0128    0.0006    0.0015   -0.0089   -0.0021    0.0011   -0.0003
    0.9981   -0.0324    0.0202    0.0311   -0.0230    0.0007    0.0153
    1.0336    0.0486   -0.0312   -0.0511    0.0241    0.0156   -0.0357
    0.0032    1.1282   -0.0270   -0.0440   -0.0340   -0.0342    0.0109
    0.0165    0.9929   -0.0476    0.0595    0.0078   -0.0050   -0.0166
    0.0109    0.9625   -0.0228    0.0529    0.0193   -0.0008   -0.0187
   -0.0020    0.9690    0.0150    0.0285    0.0107   -0.0103   -0.0129
   -0.0245    1.0117    0.0715   -0.0242   -0.0179   -0.0267    0.0008
   -0.0047    0.0456    0.9947   -0.0374    0.0150   -0.0206   -0.0030
   -0.0068   -0.0723    1.0237    0.0079    0.0341    0.0101    0.0053
   -0.0003   -0.0163    1.0207   -0.0093    0.0139    0.0029   -0.0051
    0.0049   -0.0190    1.0103   -0.0065    0.0226    0.0076   -0.0097
    0.0117    0.0160    0.9985   -0.0077    0.0149    0.0038   -0.0213
    0.0109    0.0054   -0.0081    1.0651   -0.0119   -0.0321    0.0176
    0.0031    0.0105   -0.0388    1.0492   -0.0098    0.0027    0.0076
    0.0012   -0.0190   -0.0108    1.0157   -0.0153    0.0063    0.0061
    0.0025   -0.0232    0.0025    0.9817   -0.0056   -0.0043    0.0109
   -0.0009   -0.0189    0.0103    0.9654   -0.0012   -0.0058    0.0083
   -0.0046    0.0563    0.0360    0.0454    0.9255   -0.0613   -0.0082
    0.0101   -0.0137    0.0172    0.0079    1.0071   -0.0210   -0.0099
   -0.0044    0.0443    0.0165    0.0023    0.9852   -0.0502   -0.0002
    0.0065   -0.0560    0.0078    0.0020    1.0395    0.0030    0.0012
    0.0115   -0.1120    0.0131    0.0157    1.0540    0.0250    0.0016
   -0.0390   -0.0101   -0.0305    0.0005    0.0181    1.0343    0.0371
    0.0635   -0.0133   -0.0316   -0.0365    0.0215    0.9393    0.0529
    0.0204    0.0003    0.0036   -0.0101   -0.0230    1.0095   -0.0115
    0.0148    0.0112    0.0159   -0.0140   -0.0253    1.0014   -0.0137
    0.0144    0.0187    0.0165   -0.0265   -0.0130    0.9805    0.0032
    0.0127   -0.0111   -0.0099    0.0144    0.0214   -0.0349    1.0302
   -0.0128   -0.0119   -0.0020    0.0244   -0.0099   -0.0209    1.0411
   -0.0004   -0.0043   -0.0156   -0.0034    0.0034    0.0028    1.0165
    0.0006   -0.0215   -0.0210   -0.0295    0.0260    0.0325    1.0037
    0.0034   -0.0296   -0.0251   -0.0509    0.0428    0.0522    0.9919

>> ANSS=ans

ANSS =

    0.9716   -0.1083    0.0567    0.0925   -0.0428   -0.0072    0.0424
    0.9955   -0.0416    0.0257    0.0303   -0.0214   -0.0027    0.0198
    1.0128    0.0006    0.0015   -0.0089   -0.0021    0.0011   -0.0003
    0.9981   -0.0324    0.0202    0.0311   -0.0230    0.0007    0.0153
    1.0336    0.0486   -0.0312   -0.0511    0.0241    0.0156   -0.0357
    0.0032    1.1282   -0.0270   -0.0440   -0.0340   -0.0342    0.0109
    0.0165    0.9929   -0.0476    0.0595    0.0078   -0.0050   -0.0166
    0.0109    0.9625   -0.0228    0.0529    0.0193   -0.0008   -0.0187
   -0.0020    0.9690    0.0150    0.0285    0.0107   -0.0103   -0.0129
   -0.0245    1.0117    0.0715   -0.0242   -0.0179   -0.0267    0.0008
   -0.0047    0.0456    0.9947   -0.0374    0.0150   -0.0206   -0.0030
   -0.0068   -0.0723    1.0237    0.0079    0.0341    0.0101    0.0053
   -0.0003   -0.0163    1.0207   -0.0093    0.0139    0.0029   -0.0051
    0.0049   -0.0190    1.0103   -0.0065    0.0226    0.0076   -0.0097
    0.0117    0.0160    0.9985   -0.0077    0.0149    0.0038   -0.0213
    0.0109    0.0054   -0.0081    1.0651   -0.0119   -0.0321    0.0176
    0.0031    0.0105   -0.0388    1.0492   -0.0098    0.0027    0.0076
    0.0012   -0.0190   -0.0108    1.0157   -0.0153    0.0063    0.0061
    0.0025   -0.0232    0.0025    0.9817   -0.0056   -0.0043    0.0109
   -0.0009   -0.0189    0.0103    0.9654   -0.0012   -0.0058    0.0083
   -0.0046    0.0563    0.0360    0.0454    0.9255   -0.0613   -0.0082
    0.0101   -0.0137    0.0172    0.0079    1.0071   -0.0210   -0.0099
   -0.0044    0.0443    0.0165    0.0023    0.9852   -0.0502   -0.0002
    0.0065   -0.0560    0.0078    0.0020    1.0395    0.0030    0.0012
    0.0115   -0.1120    0.0131    0.0157    1.0540    0.0250    0.0016
   -0.0390   -0.0101   -0.0305    0.0005    0.0181    1.0343    0.0371
    0.0635   -0.0133   -0.0316   -0.0365    0.0215    0.9393    0.0529
    0.0204    0.0003    0.0036   -0.0101   -0.0230    1.0095   -0.0115
    0.0148    0.0112    0.0159   -0.0140   -0.0253    1.0014   -0.0137
    0.0144    0.0187    0.0165   -0.0265   -0.0130    0.9805    0.0032
    0.0127   -0.0111   -0.0099    0.0144    0.0214   -0.0349    1.0302
   -0.0128   -0.0119   -0.0020    0.0244   -0.0099   -0.0209    1.0411
   -0.0004   -0.0043   -0.0156   -0.0034    0.0034    0.0028    1.0165
    0.0006   -0.0215   -0.0210   -0.0295    0.0260    0.0325    1.0037
    0.0034   -0.0296   -0.0251   -0.0509    0.0428    0.0522    0.9919

>> shai
>> cc=ans

cc =

    0.9716   -0.1083    0.0567    0.0925   -0.0428   -0.0072    0.0424
    0.9955   -0.0416    0.0257    0.0303   -0.0214   -0.0027    0.0198
    1.0128    0.0006    0.0015   -0.0089   -0.0021    0.0011   -0.0003
    0.9981   -0.0324    0.0202    0.0311   -0.0230    0.0007    0.0153
    1.0336    0.0486   -0.0312   -0.0511    0.0241    0.0156   -0.0357
    0.0032    1.1282   -0.0270   -0.0440   -0.0340   -0.0342    0.0109
    0.0165    0.9929   -0.0476    0.0595    0.0078   -0.0050   -0.0166
    0.0109    0.9625   -0.0228    0.0529    0.0193   -0.0008   -0.0187
   -0.0020    0.9690    0.0150    0.0285    0.0107   -0.0103   -0.0129
   -0.0245    1.0117    0.0715   -0.0242   -0.0179   -0.0267    0.0008
   -0.0047    0.0456    0.9947   -0.0374    0.0150   -0.0206   -0.0030
   -0.0068   -0.0723    1.0237    0.0079    0.0341    0.0101    0.0053
   -0.0003   -0.0163    1.0207   -0.0093    0.0139    0.0029   -0.0051
    0.0049   -0.0190    1.0103   -0.0065    0.0226    0.0076   -0.0097
    0.0117    0.0160    0.9985   -0.0077    0.0149    0.0038   -0.0213
    0.0109    0.0054   -0.0081    1.0651   -0.0119   -0.0321    0.0176
    0.0031    0.0105   -0.0388    1.0492   -0.0098    0.0027    0.0076
    0.0012   -0.0190   -0.0108    1.0157   -0.0153    0.0063    0.0061
    0.0025   -0.0232    0.0025    0.9817   -0.0056   -0.0043    0.0109
   -0.0009   -0.0189    0.0103    0.9654   -0.0012   -0.0058    0.0083
   -0.0046    0.0563    0.0360    0.0454    0.9255   -0.0613   -0.0082
    0.0101   -0.0137    0.0172    0.0079    1.0071   -0.0210   -0.0099
   -0.0044    0.0443    0.0165    0.0023    0.9852   -0.0502   -0.0002
    0.0065   -0.0560    0.0078    0.0020    1.0395    0.0030    0.0012
    0.0115   -0.1120    0.0131    0.0157    1.0540    0.0250    0.0016
   -0.0390   -0.0101   -0.0305    0.0005    0.0181    1.0343    0.0371
    0.0635   -0.0133   -0.0316   -0.0365    0.0215    0.9393    0.0529
    0.0204    0.0003    0.0036   -0.0101   -0.0230    1.0095   -0.0115
    0.0148    0.0112    0.0159   -0.0140   -0.0253    1.0014   -0.0137
    0.0144    0.0187    0.0165   -0.0265   -0.0130    0.9805    0.0032
    0.0127   -0.0111   -0.0099    0.0144    0.0214   -0.0349    1.0302
   -0.0128   -0.0119   -0.0020    0.0244   -0.0099   -0.0209    1.0411
   -0.0004   -0.0043   -0.0156   -0.0034    0.0034    0.0028    1.0165
    0.0006   -0.0215   -0.0210   -0.0295    0.0260    0.0325    1.0037
    0.0034   -0.0296   -0.0251   -0.0509    0.0428    0.0522    0.9919

>> shai
>> size(n)

ans =

     7    70

>> size(ans)

ans =

     1     2

>> size(cc)

ans =

    35     7

>> plot(cc(26:30,6),'DisplayName','cc(26:30,6)','YDataSource','cc(26:30,6)');figure(gcf)
>> 

评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值