rede neura l2

package rdn;


public class RedeNeural {

    final double x1, x2, w1, w2;
  RedeNeural(double x1, double x2, double w1, double w2) {

       this.x1 = x1;
       this.x2 = x2;
       this.w1 = w1;
       this.w2 = w2;

   }
   public double getY1() {

       double wx, y1;

       wx = (x1 * w1) + (x2 * w2); //func propaga


       if(wx>0){
       y1 = 1;

       }else{

           y1 = 0;

       }
       System.out.println((int) wx);


//  y1 = Math.tanh(wx); //Saida

       return y1;

}

}