bpnet.h

基本的BP神经网络框架

//BP网络中一些函数的定义
double sigmoid(double a)
{
	double b;
	b=1/(1+exp(-a));
	return b;

}


double train(int n1,int n2,int n3,double in1[], 
			 double out1[], double out2[], double w1[][], double w2[][], double t[])
{
	
	double df1[n2];
	double df2[n3];
	double s2[n3];
	double s1[n2];
	double w[n2][n3];
	double m[n2][n3];
	double a=0.01;
	int x=0;
	int i;
	int j;
	int k;
	for(i=1;i<=n3;i++){          //计算敏感度,更新权值
		df2[i]=1;
		s2[i]=-2*(t[i]-out2[i]);
		for(j=1;j<=n2;j++){
			w2[i][j]=w2[i][j]+a*out1[j];
		}
	}
	
	for(i=1;i<=n3;i++){
		for(j=1;j<=n2;j++){
			w[j][i]=w2[i][j];
		}
	}
	for(j=1;j<=n2;j++){
		df1[j]=(1-out1[j])*out1[j];
		s1[j]=0;
		for(i=1;i<=n3;i++){
			m[j][i]=df1[j]*w[j][i];
			s1[j]=s1[j]+m[j][i]*s2[i];
		}
	}
	for(j=1;j<=n2;j++){
		for(k=1;k<=n1;k++){
			w1[j][k]=w1[j][k]+a*s1[j]*in1[k];
		}
	}
	if(x=0){
		return w1[n2][n1];
	}
	
}