neuralnetwork.h

A complete implementation of neural network with different example of training set generation. http

/*******************************************************************
* Basic Feed Forward Neural Network Class
* ------------------------------------------------------------------
* Bobby Anguelov - takinginitiative.wordpress.com (2008)
* MSN & email: [e-mail]
********************************************************************/

#ifndef NNetwork
#define NNetwork

#include "dataReader.h"

class neuralNetworkTrainer;

class neuralNetwork
{
	//class members
	//--------------------------------------------------------------------------------------------
	public: //private:

	//number of neurons
	int nInput, nHidden, nOutput;
	
	//neurons
	double* inputNeurons;
	double* hiddenNeurons;
	double* outputNeurons;

	//weights
	double** wInputHidden;
	double** wHiddenOutput;
		
	//Friends
	//--------------------------------------------------------------------------------------------
//	friend neuralNetworkTrainer;
	
	//public methods
	//--------------------------------------------------------------------------------------------

public:

	//constructor & destructor
	neuralNetwork(int numInput, int numHidden, int numOutput);
	~neuralNetwork();

	//weight operations
	bool loadWeights(char* inputFilename);
	bool saveWeights(char* outputFilename);
	int* feedForwardPattern( double* pattern );
	double getSetAccuracy( std::vector<dataEntry*>& set );
	double getSetMSE( std::vector<dataEntry*>& set );

	//private methods
	//--------------------------------------------------------------------------------------------

public: //private: 

	void initializeWeights();
	inline double activationFunction( double x );
	inline int clampOutput( double x );
	void feedForward( double* pattern );
	
};

#endif