JOONE实现人工智能

1. packagecom.sweetop.test;
3. importjava.io.Serializable;
4. importjava.util.Arrays;
5. importjava.util.Vector;
7. importorg.joone.engine.FullSynapse;
8. importorg.joone.engine.LinearLayer;
9. importorg.joone.engine.Monitor;
10. importorg.joone.engine.NeuralNetEvent;
11. importorg.joone.engine.NeuralNetListener;
12. importorg.joone.engine.Pattern;
13. importorg.joone.engine.SigmoidLayer;
14. importorg.joone.engine.learning.TeachingSynapse;
15. importorg.joone.io.FileInputSynapse;
16. importorg.joone.io.FileOutputSynapse;
17. importorg.joone.io.MemoryInputSynapse;
18. importorg.joone.io.MemoryOutputSynapse;
19. importorg.joone.net.NeuralNet;
21. publicclassTestimplementsNeuralNetListener,Serializable{
22. /**
23. *
24. */
25. privatestaticfinallongserialVersionUID=61750666816215273L;
26. privateNeuralNetnnet=null;
27. privateMemoryInputSynapseinputSynapse,desiredOutputSynapse;
28. privateMemoryOutputSynapseoutputSynapse;
30. //XORinput
31. privatedouble[][]inputArray=newdouble[][]{{1.0,1.0},
32. {1.0,2.0},{2.0,2.0},{2.0,3.0},{1.0,3.0}};
34. //XORdesiredoutput
35. privatedouble[][]desiredOutputArray=newdouble[][]{{2.0/10},
36. {3.0/10},{4.0/10},{5.0/10},{4.0/10}};
38. protectedvoidinitNeuralNet(){
39. //Firstcreatethethreelayers
40. LinearLayerinput=newLinearLayer();
41. SigmoidLayerhidden=newSigmoidLayer();
42. SigmoidLayeroutput=newSigmoidLayer();
44. input.setLayerName("input");
45. hidden.setLayerName("hidden");
46. output.setLayerName("output");
48. //setthedimensionsofthelayers
49. input.setRows(2);
50. hidden.setRows(3);
51. output.setRows(1);
53. //NowcreatethetwoSynapses
54. FullSynapsesynapse_IH=newFullSynapse();/*input->hiddenconn.*/
55. FullSynapsesynapse_HO=newFullSynapse();/*hidden->outputconn.*/
57. //Connecttheinputlayerwhitthehiddenlayer
58. input.addOutputSynapse(synapse_IH);
59. hidden.addInputSynapse(synapse_IH);
61. //Connectthehiddenlayerwhittheoutputlayer
62. hidden.addOutputSynapse(synapse_HO);
63. output.addInputSynapse(synapse_HO);
65. //theinputtotheneuralnet
66. inputSynapse=newMemoryInputSynapse();
67. input.addInputSynapse(inputSynapse);
69. //theoutputoftheneuralnet
70. outputSynapse=newMemoryOutputSynapse();
72. output.addOutputSynapse(outputSynapse);
74. //TheTraineranditsdesiredoutput
75. desiredOutputSynapse=newMemoryInputSynapse();
77. TeachingSynapsetrainer=newTeachingSynapse();
79. trainer.setDesired(desiredOutputSynapse);
80. nnet=newNeuralNet();
82. nnet.addLayer(input,NeuralNet.INPUT_LAYER);
83. nnet.addLayer(hidden,NeuralNet.HIDDEN_LAYER);
84. nnet.addLayer(output,NeuralNet.OUTPUT_LAYER);
85. nnet.setTeacher(trainer);
86. output.addOutputSynapse(trainer);
87. train();
88. //File
89. }
91. publicvoidtest(double[][]d){
92. inputSynapse.setInputArray(d);
93. inputSynapse.setAdvancedColumnSelector("1,2");
94. nnet.getMonitor().setTotCicles(1);
95. nnet.start();
96. nnet.getMonitor().Go();
97. for(Objecto:outputSynapse.getAllPatterns()){
98. Patternp=(Pattern)o;
99. System.out.println(10*p.getArray()[0]);
100. }
101. }
102. publicvoidtrain(){
103. //settheinputs
104. inputSynapse.setInputArray(inputArray);
105. inputSynapse.setAdvancedColumnSelector("1,2");
106. //setthedesiredoutputs
107. desiredOutputSynapse.setInputArray(desiredOutputArray);
108. desiredOutputSynapse.setAdvancedColumnSelector("1");
110. //getthemonitorobjecttotrainorfeedforward
111. Monitormonitor=nnet.getMonitor();
113. //setthemonitorparameters
114. monitor.setLearningRate(0.8);
115. monitor.setMomentum(0.3);
116. monitor.setTrainingPatterns(inputArray.length);
117. monitor.setTotCicles(100000);
118. monitor.setLearning(true);
119. nnet.addNeuralNetListener(this);
120. nnet.start();
121. nnet.getMonitor().Go();
122. for(Objecto:outputSynapse.getAllPatterns()){
123. Patternp=(Pattern)o;
124. System.out.println(10*p.getArray()[0]);
125. }
126. }
128. publicvoidcicleTerminated(NeuralNetEvente){
130. }
132. publicvoiderrorChanged(NeuralNetEvente){
134. }
136. publicvoidnetStarted(NeuralNetEvente){
137. //TODOAuto-generatedmethodstub
139. }
141. publicvoidnetStopped(NeuralNetEvente){
142. //TODOAuto-generatedmethodstub
144. }
146. publicvoidnetStoppedError(NeuralNetEvente,Stringerror){
148. }
150. }