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📄 bpnet.h

📁 车牌识别(改定位)武汉理工大学
💻 H
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#if !defined(AFX_BPNET_H__7ACF7725_EE66_11D6_AAF0_00E04F29491B__INCLUDED_)
#define AFX_BPNET_H__7ACF7725_EE66_11D6_AAF0_00E04F29491B__INCLUDED_

#if _MSC_VER > 1000
#pragma once
#endif // _MSC_VER > 1000
// BpNet.h : header file
//

/////////////////////////////////////////////////////////////////////////////
// CBpNet window
#include "math.h"
class CMatrix
{
public:	
	//初始化
	CMatrix();
	CMatrix(CMatrix &mIn);
	virtual ~CMatrix();
	BOOL Create(CSize szM);
	BOOL Zeros(int nRows,int nCols);
	void Destroy();
	//属性
	int rows();
	int cols();
	void Display();
	//操作
	double operator()(int nRow,int nCol);
	double operator()(int nNo);
	void Set(int nRos,int nCol,double dVal);
	CMatrix& operator=(CMatrix &mIn);
	BOOL SetData(int nRow,int nCol,double *pData);
	BOOL SetData(int nRow,int nCol,BYTE *pData);

	BOOL SaveAsText(CString strPath);
public:		
	double Max(int &nNo);
	int m_nRows;//行数
	int m_nCols;//列数
	double * m_pData;
};

class CBpNet : public CObject
{
public:
	CBpNet();
public:
	void GetFeaNN(BYTE &nH,BYTE &nV,BYTE &nL,BYTE &nR,BYTE &nS,BYTE * pData,int nDim=5);
	BOOL GetFeature(CImage &ImgIn,BYTE *pFea,int &nLen);
	void Serialize( CArchive& ar );
	void display(CMatrix &data);
	CMatrix scope(CMatrix &mData);
	long lEpochs;
	double dblMse;
	static double dblError;
	
	double randab(double a,double b);
	void stop();
	void learn();
	bool SaveBpNet(CString &strNetName);
	void LoadBpNet(CString &strNetName);
	int Recogn(CImage &ImgIn,double &dRecVal);
	int Recogn1(CImage &ImgIn,double &dRecVal);
	CMatrix simulate(CMatrix &mData);
	void Create(CMatrix &mInputData,CMatrix &mTarget,int iInput,int iHidden,int iOutput);
	virtual ~CBpNet();

	// Generated message map functions
protected:
	//{{AFX_MSG(CBpNet)
		// NOTE - the ClassWizard will add and remove member functions here.
	//}}AFX_MSG

	DECLARE_SERIAL(CBpNet)

public:
	bool m_isOK;
	void LoadPattern(CMatrix &mIn,CMatrix &mOut);
	int iHidden;//隐层神经元个数
	int iInput;//输入个数
	int iOutput;//输出个数
protected:
	
	CMatrix mInput;//单个样本输入数据
	CMatrix mSampleInput;//全体样本输入数据
	CMatrix mSampleTarget;//全体目标数据
    CMatrix mHidden;//计算得到的隐层数据
	CMatrix mOutput;//计算输出
	CMatrix mWeighti;//输入-隐层权重
	CMatrix mWeighto;//隐层-输出权重
	CMatrix mChangei;//输入-隐层权重变化
	CMatrix mChangeo;//隐层-输出权重变化
public:
	double GetError();
	CMatrix mInputNormFactor;//正规化因子,iInputx2
	CMatrix mTargetNormFactor;//输出正规化因子,iOutputx2
protected:
	CMatrix mThresholdi;//阙值
	CMatrix mThresholdo;
	CMatrix mOutputDeltas;//误差
	CMatrix mHiddenDeltas;
protected:
	static bool m_IsStop;
	double dblMomentumFactor;
	double dblLearnRate1;
	double dblLearnRate2;
	void backward(int iSample);
	void forward(int iSample);
	void normalize();//将输入输出样本数据正规化处理

private:
	double dblErr;
};

/////////////////////////////////////////////////////////////////////////////

//{{AFX_INSERT_LOCATION}}
// Microsoft Visual C++ will insert additional declarations iCMatrixediately before the previous line.

#endif // !defined(AFX_BPNET_H__7ACF7725_EE66_11D6_AAF0_00E04F29491B__INCLUDED_)

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