bpnet.hpp

关于神经网络算法处理的一些程序。开发环境是C

//Header:	BPNet.hpp
//Language:	Borland C++ 3.1
//Version:	1.0
//Environ:	Any
//Author:	Liu Kang
//Date:		3/1996
//Purpose:	Provide a class for BP neural network

#ifndef		__BPNET__HPP
#define		__BPNET__HPP

#include "frdnrl.hpp"
#include <fstream.h>

class BPNet:public FrdNrl
{
  protected:
    double StepLrn;		//learn step
    double RushLrn;		//coefficient of rush when learn
    double ErrAllow;		//error allowed when learning
    double ErrFlAllow;		//error fail threshold when learning
    void ThdInitial();		//threshold initial method of BP network
    int CFGLoad();
    int CFGLoadIn(istream&);
    int CFGWrite();
    int CFGWriteIn(ostream&);
    int (*LrnCom)(const long,BPNet&,const Matrix&,double**,double**,const int);
	//learn commulacation function pointer,learning continue when return 0
    double (*DifFun)(double);	//differential function when learning
  public:
    //constructor
    BPNet();
    BPNet(char*);				//for exist network
    BPNet(int ln, int nn[], char* nname=NULL);	//for new network
    //destructor
    ~BPNet();
    //other methods
    virtual long Learn(double **input, double **output, int examplenum);
		  //network learn method
    void SetNdFun(double (*f)(double));
    void SetDifFun(double (*f)(double)){ DifFun=f; };
    void SetLrnCom(int (*f)(const long,BPNet&,const Matrix&,
		   double**,double**,const int)) { LrnCom=f; };
    void SetErrAllow(double e){ ErrAllow=e;};//error allowed of learning set
    void SetStepLrn(double s){ StepLrn=s; };
    void SetRushLrn(double r){ RushLrn=r; };
    void SetErrFail(double e){ ErrFlAllow=e; };
};
double SigFun(double);
double SigFun1(double);
double InputFun(double x);

#endif