GradientDescentCalibrator.h

/*
 *====================================================================
 * HISTORY:
 * -------
 * $Log: GradientDescentCalibrator.h,v $
 * Revision 1.1  2008/08/23 14:28:48  samit_ahlawat
 * Feed forward neural network library
 *
 * 
 * ID:
 * --
 * static const char *CvsId = "@(#)$Id: GradientDescentCalibrator.h,v 1.1 2008/08/23 14:28:48 samit_ahlawat Exp $";
 *====================================================================
 */

#ifndef _GRADIENT_DESCENT_CALIBRATOR_H_
#define _GRADIENT_DESCENT_CALIBRATOR_H_


#include <stdexcept>
#include <vector>

class NeuralNetwork;
class TestData;

class GradientDescentCalibrator
{
    private:
        NeuralNetwork* pNetwork;
        TestData* pAllData;
        double dEeta;
        double* pDelta;

        double* pOutputArr;

        double* pAllNeuronsInput;

        int iMaxLevelNeurons;

        int* pAnteriorNeurons;

        double* pWeightAnteriorNeurons;

        int* pNumAnteriorNeurons;

        GradientDescentCalibrator(const GradientDescentCalibrator& calib) { throw new std::invalid_argument("copy prohibited"); }
        GradientDescentCalibrator& operator= (const GradientDescentCalibrator& calib) { throw new std::invalid_argument("copy prohibited"); }

        void InitializeWeights();
        double ComputeResidual();
        void BackpropagateCorrections();
        void FindAnteriorNeurons();
        void Destroy();

    public:
        GradientDescentCalibrator(NeuralNetwork* network, TestData* data, double eeta) :
            pNetwork(network), pAllData(data), dEeta(eeta), pDelta(0), 
            pOutputArr(0), pAllNeuronsInput(0), pAnteriorNeurons(0), 
            pWeightAnteriorNeurons(0), pNumAnteriorNeurons(0) {};

        bool Calibrate(int maxIter, double minResidual, double& finalResidual);

        ~GradientDescentCalibrator() { Destroy(); }
};

#endif // _GRADIENT_DESCENT_CALIBRATOR_H_

---