bplayer.h

BP人工神经网络训练源码

// BPLayer.h: interface for the CBPLayer class.
//
//////////////////////////////////////////////////////////////////////

#if !defined(AFX_BPLAYER_H__A1AD2505_132E_11D5_92B2_E4EDA6A40E5F__INCLUDED_)
#define AFX_BPLAYER_H__A1AD2505_132E_11D5_92B2_E4EDA6A40E5F__INCLUDED_

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

#include "Matrix.h"

class CBPLayer  
{
protected:
	void F(void);	//Y=F(V)
	CMatrix DeltaF();	//F'()
public:
	
	void ForWard(CMatrix & P1);//正向传递信息
	CMatrix BackWard(CMatrix & E);//误差反向传递，返回前层误差
	
	void initiate(unsigned int NumIn, unsigned int NumOut,unsigned int Mode, double l);
	
	double lr;//学习速度
	CMatrix *P;//输入矩阵
	CMatrix W;//权系数矩阵
	CMatrix B;//偏差矩阵
	CMatrix V;//V=W*P+B
	CMatrix Y;//Y=F(V)
	//CMatrix dw;//dw=D*P'*lr
	//CMatrix db;//db=D*ones()*lr
	CMatrix D;//D=F'().*E

	enum FunctionMode
	{
		purelin=0x0,
		logsig=0x1,
		tansig=0x2
	}FunctionType;

	CBPLayer();
	virtual ~CBPLayer();

};


class CBPNet  
{
public:
	CEdit * m_message;
	void Train();
	void BackWard();
	void ForWard();
	void init(CEdit * edit_message,double m_lr,int m_num);
	CBPNet();
	virtual ~CBPNet();
	CMatrix P, T, Y, E;//输入矩阵，期望输出，实际输出
	CBPLayer l1,l2;//两层
	double sse;//输出误差
	double err_goal;//期望误差
	double lr;//学习速率
	unsigned int max_epoch;//最大循环次数

};

#endif // !defined(AFX_BPLAYER_H__A1AD2505_132E_11D5_92B2_E4EDA6A40E5F__INCLUDED_)