AbstractNeuron.h

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#ifndef _ABSTRACTNEURON_H
#define _ABSTRACTNEURON_H

#include "Neuron.h"
#include "defines.h"

namespace annie
{

class AbstractNeuron : public Neuron
{
protected:
    bool _hasBias;

    real _bias;

    real _deltaBias;

    virtual void _recacheOutput() const =0;

    virtual void _recacheError() const =0;

    static const real INIT_WEIGHT_MAX;  //< initial weights will be uniformly sampled from [-INIT_WEIGHT_MAX,  INIT_WEIGHT_MAX]
public:

    static real getRandomWeight();
    AbstractNeuron(int label, bool hasBias = true);

    virtual void setBias(real bias);

    virtual bool hasBias() const;

    virtual real getBias() const;

    virtual void removeBias();

    virtual void setDesiredOutput(real desired)=0;

    virtual void connect(Neuron *from);
    void connect(Neuron &from) { connect(&from); }
    void connect(Neuron &from, real w) { connect(&from, w); }

    void connectFrom(Neuron *from)  { connect(from); }

    virtual void connect(Neuron *from, real weight);

    virtual void calculateNewWeights(real learningRate, real momentum);

    virtual void update();

    virtual const char *getClassName() const;

    virtual real getWeight(Neuron *from) const;

    void randomizeWeights();

    virtual operator std::string() const;
};

}; //namespace annie
#endif // define _ABSTRACTNEURON_H

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