---

PerceptronLayer.h

/* PerceptronLayer.h
 *
 * Copyright (C) 2002-2003 -- Sebastian Nowozin
 */

#ifndef PERCEPTRONLAYER_H
#define PERCEPTRONLAYER_H

#include <vector>

using namespace std;

#include <neuralnet/ActivationFunction.h>
#include <neuralnet/RandomFunction.h>
#include <neuralnet/PerceptronNeuron.h>

enum PerceptronLayerType { Input, Hidden, Output };

class
PerceptronLayer {
public:
        PerceptronLayerType     type;

        vector<PerceptronNeuron *>      neurons;

        PerceptronLayer (unsigned int neuron_count,
                const ActivationFunction *fact);

        ~PerceptronLayer (void);

        PerceptronLayer (PerceptronLayer& source);

        void randomizeParameters (PerceptronLayer *succ,
                const RandomFunction *weight_func,
                const RandomFunction *theta_func);

        void resetDiffs (void);

        void setActivationFunction (const ActivationFunction *fact);

        const ActivationFunction * getActivationFunction (void) const;

        /* ALGORITHMS */

        void propagate (PerceptronLayer *pred);

        void backpropagate (PerceptronLayer *succ,
                vector<double> &output_optimal, double opt_tolerance);

        void postprocess (PerceptronLayer *succ, double epsilon,
                double weight_decay, double momterm);

        void update (void);

protected:
        const ActivationFunction *      fact;
};

#endif

---