matlab net.trainparam.lr,求大神帮忙解决matlab预测问题

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close all

clear all

clc

a=x;

b=y;

inputs = a';

targets = b';

% 创建一个模式识别网络(两层BP网络)，同时给出中间层神经元的个数，这里使用20

net=newff(inputs,targets,[25 25]);

net.trainParam.epochs=100;

net.trainParam.lr=0.01;

net.trainParam.goal=0.0001;

net.trainParam.max_fail=20;

% 对数据进行预处理，这里使用了归一化函数(一般不用修改)

% For a list of all processing functionstype: help nnprocess

net.inputs{1}.processFcns ={'removeconstantrows','mapminmax'};

% 把训练数据分成三部分，训练网络、验证网络、测试网络

% For a list of all data division functionstype: help nndivide

net.divideFcn = 'dividerand'; % Divide data randomly

net.divideMode = 'sample'; % Divide up every sample

net.divideParam.trainRatio = 70/100;</