fork(3) download
  1. import java.util.Scanner;
  2.  
  3. import java.lang.Math;
  4.  
  5. class Demo {
  6.  
  7. // inputs are declared
  8. private int x[][]=new int[1][2];
  9. //weights are declared
  10. private double w[][]=new double[1][2];
  11. private double temp;
  12.  
  13. private double z[]=new double[1];
  14. private double desiredOutput;
  15. private double actualOutput;
  16. private double error;
  17. private double definedValue=0.004;
  18. private double weightChange[][]=new double[1][2];
  19. private double learningRate;
  20. private double epilision=0.000000001;
  21. private static double zTotal;
  22.  
  23. public static void main(String[] args) {
  24. new Demo().getData();
  25. }
  26.  
  27. public void getData(){
  28. x[0][0] = 1;
  29. w[0][0] = 0.5;
  30. x[0][1] = 0;
  31. w[0][1] = 0.6;
  32.  
  33. desiredOutput = 0;
  34. definedValue = 0.002;
  35. learningRate = 0.23;
  36.  
  37. calculate();
  38.  
  39.  
  40. }
  41.  
  42. public void calculate(){
  43.  
  44. for(int j=0;j<x.length;j++){
  45. for(int i=0; i<w[0].length; i++){
  46. temp=0;
  47. temp=x[j][i]*w[j][i];
  48.  
  49.  
  50. z[j]+=temp;
  51.  
  52. }
  53. zTotal+=z[j];
  54. System.out.println("temp value :"+zTotal);
  55. }
  56.  
  57. System.out.println("ztotal "+zTotal);
  58.  
  59. //double negZ= -zTotal;
  60.  
  61. double temp2=1+Math.exp(-zTotal);
  62. actualOutput=1/temp2;
  63. //actualOutput=1/(1+Math.exp(-zTot));
  64.  
  65.  
  66. System.out.println("actualOutput "+actualOutput);
  67.  
  68. if(Math.abs(actualOutput-desiredOutput)>epilision){
  69.  
  70. calculateError();
  71. }
  72. else{
  73. printWeights();
  74. }
  75.  
  76.  
  77.  
  78.  
  79.  
  80.  
  81. }
  82.  
  83.  
  84. public void calculateError(){
  85. System.out.println("desired out put :"+desiredOutput+" actual out put :"+actualOutput);
  86. error=0.5*((desiredOutput-actualOutput)*(desiredOutput-actualOutput));
  87. System.out.println("error "+error+"\n\n");
  88.  
  89. //error=0.003;
  90.  
  91.  
  92.  
  93. checkingCondition();
  94.  
  95. }
  96.  
  97. public void checkingCondition(){
  98.  
  99. if(error<definedValue){
  100.  
  101. printWeights();
  102. }
  103. else{
  104.  
  105. balanceWeights();
  106. }
  107.  
  108. }
  109.  
  110.  
  111. public void balanceWeights(){
  112.  
  113. //System.out.println("new Weights are");
  114. for(int j=0;j<w.length;j++){
  115.  
  116. for(int i=0;i<w[0].length;i++){
  117.  
  118. weightChange[j][i]=(-learningRate)*(desiredOutput-actualOutput)*actualOutput*(1-actualOutput)*x[j][i];
  119. System.out.println("weight change "+weightChange[j][i]);
  120. w[j][i]+=weightChange[j][i];
  121.  
  122. //System.out.print(w[i]+"\t");
  123. }
  124.  
  125. }
  126. calculate();
  127.  
  128.  
  129.  
  130.  
  131. }
  132.  
  133. public void printWeights(){
  134. System.out.print("The balanced weights are: ");
  135.  
  136.  
  137. for(int j=0;j<x.length;j++){
  138. for(int i=0;i<x[0].length;i++){
  139. System.out.println("Neuron "+j+"Weight of input"+i+"=\t"+w[j][i]);
  140. }
  141.  
  142. }
  143.  
  144.  
  145. }
  146.  
  147.  
  148.  
  149. }
Runtime error #stdin #stdout 0.24s 321152KB
stdin
Standard input is empty
stdout
temp value :0.5
ztotal 0.5
actualOutput 0.6224593312018546
desired out put :0.0 actual out put :0.6224593312018546
error 0.19372780950013005


weight change 0.033644458311200255
weight change 0.0
temp value :1.5336444583112003
ztotal 1.5336444583112003
actualOutput 0.822538916337564
desired out put :0.0 actual out put :0.822538916337564
error 0.3382851344448871


weight change 0.027614925410921955
weight change 0.0
temp value :3.128548300344523
ztotal 3.128548300344523
actualOutput 0.9580550943977771
desired out put :0.0 actual out put :0.9580550943977771
error 0.4589347819507668


weight change 0.008854989008990758
weight change 0.0
temp value :5.293566515108958
ztotal 5.293566515108958
actualOutput 0.995001301741032
desired out put :0.0 actual out put :0.995001301741032
error 0.49501379523317407


weight change 0.0011382353143427248
weight change 0.0
temp value :8.029837337918849
ztotal 8.029837337918849
actualOutput 0.9996745048140359
desired out put :0.0 actual out put :0.9996745048140359
error 0.4996745577875939


weight change 7.481516502996671E-5
weight change 0.0
temp value :11.337435583939225
ztotal 11.337435583939225
actualOutput 0.9999880818427591
desired out put :0.0 actual out put :0.9999880818427591
error 0.49998808191378036


weight change 2.7411108262561597E-6
weight change 0.0
temp value :15.216363994280913
ztotal 15.216363994280913
actualOutput 0.9999997536134618
desired out put :0.0 actual out put :0.9999997536134618
error 0.4999997536134922


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weight change 0.0
temp value :19.66662262561279
ztotal 19.66662262561279
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desired out put :0.0 actual out put :0.9999999971233018
error 0.4999999971233018


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weight change 0.0
temp value :24.688211478596493
ztotal 24.688211478596493
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desired out put :0.0 actual out put :0.999999999981031
error 0.49999999998103095


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temp value :30.281130553236387
ztotal 30.281130553236387
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error 0.4999999999999294


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weight change 0.0
temp value :36.445379849532486
ztotal 36.445379849532486
actualOutput 0.9999999999999998
desired out put :0.0 actual out put :0.9999999999999998
error 0.4999999999999998


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weight change 0.0
temp value :43.180959367484796
ztotal 43.180959367484796
actualOutput 1.0
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error 0.5


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