cherrymoya.h

此代码经过大量使用

/***************************************************************************
                          cherrymoya.h  -  description
                             -------------------
    begin                : Sat Jan 19 2002
    copyright            : (C) 2002 by Rudiger Koch
    email                : [e-mail]
 ***************************************************************************/

/***************************************************************************
 *                                                                         *
 *   This program is free software; you can redistribute it and/or modify  *
 *   it under the terms of the GNU General Public License as published by  *
 *   the Free Software Foundation; either version 2 of the License, or     *
 *   (at your option) any later version.                                   *
 *                                                                         *
 ***************************************************************************/

#ifndef CHERRYMOYA_H
#define CHERRYMOYA_H

using namespace std;
#include <amygdala/genomehandler.h>
#include <amygdala/neuron.h>

#include <pair.h>

/**Implements the Cherrymoya model of genome generated Amygdala neural networks.
  *@author Rudiger Koch
  */

class Cherrymoya : public GenomeHandler  {
public:
    /**
     * @param the radius of the Cherrymoya
     */
  	Cherrymoya(unsigned int r);
  	~Cherrymoya();

//  implemented methods from base class
    virtual void gene (string gene);
    virtual void startChromosome(int geneLength, int genes);
    virtual void finish();

    /** Read property of unsigned int radius. */
    virtual const int& getradius();
    /** return the Network generated by this class. This function is only temporary. */
    Network* getNetwork();
    /** @return a vector of all input neurons in the order of the genes in their chromosome */
    vector <AmIdInt> GetInputNeurons();
    /** @return a vector of all output neurons in the order the genes appear in their chromosome */
    vector <Neuron*> GetOutputNeurons();

private: // Private attributes
    /** The step size along the axon. Making this too small will result
        in longer NN build time. Making it too big might miss neurons */
    float stepSize;

    /** The currently processed chromosome */
    unsigned int N_chromosome;
    /** The currently processed gene */
    unsigned int N_gene;
    /** The radius of the Sphere. This includes the skin layer. */
    int radius;
    /** The radius of the dendrites */
    float dendriteRadius;
    float offset;
    /** calibrate the axon length */
    float axonLengthFactor;

    /** the boolean indicates whether the neuron is in the meat or outside
     * A NULL value for the neuron indicates that there is no neuron at this
     * location */
    vector < vector < vector <pair <bool, Neuron *> > > > theCherrymoya;

    /*  The pair are < (strength of the singularity) , (reference to an associated skin neuron) >
        This reference is needed to get the location */
    vector < float* > skinSingularities;
    /*  The pair are < (strength of the singularity) , (an reference to an input neuron) >
        This reference is needed to get the location */
    vector < pair < float, Neuron*> > inputNeurons;
    /*  The pair are < (strength of the singularity) , (an reference to an output neuron) >
        This reference is needed to get the location */
    vector < pair < float, Neuron*> > outputNeurons;

    LayerConstants layerConst;
    Layer *hiddenLayer;
    Layer *inputLayer;
    Layer *outputLayer;

    unsigned int nId;

    enum cherrymoyaPart { SKIN=1, IN, OUT };
    Network *net;
    /** Only for statistical output - not used for anything important */
    unsigned int synapses;

protected: // Private methods
    void BuildCherrymoya();
    /** Connect all input neurons */
    void connectInputNeurons();
    /** Connect all neurons in the skin */
    void connectSkin();
    /** Connect all neurons in the meat */
    void connectMeat();
    /** puts the Strength of the field within the meat at location into E. */
    void getFieldStrengthMeat(float *location, float *E);
    /** puts the Strength of the field within the skin at location into E. */
    void getFieldStrengthSkin(float *location, float *E);
    /** Connect a hidden layer meat neuron
      * running along an axon. Connect all intersecting dendrites.
      * Also connects the output neurons
      * @param currentNeuron the presynaptic neuron
      */
    void AxonConnector3D(Neuron *currentNeuron);
    /** Connect a hidden layer skin neuron
      * running along an axon. Connect all intersecting dendrites.
      * There are 2 physical axons: one running around the skin and one pointing to the center
      * of the sphere.
      * Also connects the output neurons
      * @param currentNeuron the presynaptic neuron
      */
    void AxonConnectorSkin(Neuron *currentNeuron);
};

#endif