fork(2) download 
  1.  
  2. class Example{
  3.     int x1, x2;
  4.     double o;
  5.     Example(int x1, int x2, double o){
  6.         this.x1 = x1;
  7.         this.x2 = x2;
  8.         this.o = o;
  9.     }
  10. }
  11.  
  12. class DeltaRulePerceptron {
  13.     double w1, w2;
  14.     double dw1, dw2;
  15.     double n;
  16.  
  17.     DeltaRulePerceptron(){
  18.         //Random values
  19.         w1 = -0.8;
  20.         w2 = 0.7;
  21.         n = 0.05;
  22.     }
  23.  
  24.     public double computeOutput(Example example){
  25.         return example.x1 * w1 + example.x2*w2;
  26.     }
  27.  
  28.     public void trianWithDelta(Example[] examples){ 
  29.         for(int i=0;i<1000;++i){
  30.  
  31.             //System.out.println("Iteration #"+i);
  32.             dw1 = 0;
  33.             dw2 = 0;
  34.  
  35.             for(Example ex:examples){
  36.                 double o = computeOutput(ex);
  37.                 double t = ex.o;
  38.  
  39.                 //System.out.println("o = "+o+" t = "+t); 
  40.  
  41.                 dw1 = dw1 + n*(t-o)*ex.x1;
  42.                 dw2 = dw2 + n*(t-o)*ex.x2;
  43.             } 
  44.  
  45.             w1 += dw1;
  46.             w2 += dw2; 
  47.         }        
  48.     }
  49.  
  50.     public static void main(String[] args){
  51.         DeltaRulePerceptron dr = new DeltaRulePerceptron(); 
  52.  
  53.         //AND boolean function
  54.         Example[] examples = new Example[]{
  55.             new Example(-1, -1, -1),
  56.             new Example(-1 , 1, -1),
  57.             new Example( 1, -1, -1),
  58.             new Example( 1,  1, 1)
  59.         };
  60.         dr.trianWithDelta(examples);
  61.         System.out.println("Trained weights : "+dr.w1+" "+dr.w2);
  62.  
  63.         //Test
  64.         System.out.println(dr.sign(dr.computeOutput(examples[0])));
  65.         System.out.println(dr.sign(dr.computeOutput(examples[1])));
  66.         System.out.println(dr.sign(dr.computeOutput(examples[2])));
  67.         System.out.println(dr.sign(dr.computeOutput(examples[3])));
  68.  
  69.  
  70.     }
  71.  
  72.     public int sign(double output){
  73.         return output>0?+1:-1;
  74.     }
  75. }
  76.  
Success #stdin #stdout 0.13s 320576KB
comments ()
stdin 
Standard input is empty
stdout 
Trained weights : 0.49999999999999994 0.5000000000000002
-1
1
-1
1
https://ideone.com/CDgTQE
language:
Java (HotSpot 12)
created:
9 years ago
visibility:
public

Share or Embed source code

Discover > Sphere Engine API

The brand new service which powers Ideone!

Discover > IDE Widget

Widget for compiling and running the source code in a web browser!