bp.h

测试神经网络异或问题

// bp.h: interface for the bp class.
//
//////////////////////////////////////////////////////////////////////

#if !defined(AFX_BP_H__D9C412BB_439C_44D0_91CF_00C8C2095FED__INCLUDED_)
#define AFX_BP_H__D9C412BB_439C_44D0_91CF_00C8C2095FED__INCLUDED_

#if _MSC_VER > 1000
#pragma once
#endif // _MSC_VER > 1000

class bp  
{
public:
	bp();
	virtual ~bp();
public:
	double drnd();
	double dpn1();
	double sigmo(double x);
	double *alloc_1d_dbl(int n);
	double **alloc_2d_dbl(int m, int n);
	void bpnn_initialize(int seed);
	void bpnn_randomize_weights(double **w, int m, int n);
	void bpnn_zero_weights(double **w, int m, int n);
	void bpnn_layerforward(double *l1, double *l2, double **conn, int n1, int n2);
	void bpnn_output_error(double *delta, double *target, double *output, int nj);
	void bpnn_hidden_error(double* delta_h, int nh, double *delta_o, int no, double **who, double *hidden);
	void bpnn_adjust_weights(double *delta, int ndelta, double *ly, int nly, double** w, double **oldw, double eta, double momentum);
	void w_weight(double **w,int n1,int n2,char*name);
	bool r_weight(double **w,int n1,int n2,char *name);
	void w_num(int n1,int n2,int n3,char*name);
	bool r_num(int *n,char *name);

	void BpTrain(double **data_in, double** data_out,int n_in,int n_hidden,double min_ex,double momentum,double eta ,int num);
};

#endif // !defined(AFX_BP_H__D9C412BB_439C_44D0_91CF_00C8C2095FED__INCLUDED_)