feedforwardlayer.cpp

amygdata的神经网络算法源代码

/***************************************************************************
                          feedforwardlayer.cpp  -  description
                             -------------------
    copyright            : (C) 2005 by Matt Grover
    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.                                   *
 *                                                                         *
 ***************************************************************************/

#include <stdexcept>
#include <string>
 
#include "feedforwardlayer.h"
#include "synapseproperties.h"
#include "synapse.h"
#include "nconnector.h"
#include "utilities.h"
#include "spikingneuron.h"

using namespace Amygdala;
using namespace std;

void FeedForwardLayer::InitNewNeuron(Neuron* nrn)
{
}

void FeedForwardLayer::ConnectUniform(Topology * outLayer,
                    NConnector & nc,
                    SynapseProperties & sProps,
                    const float percentConnect)
{
    for(const_iterator itPre = begin(); itPre != end(); itPre++){
        for(const_iterator itPost = outLayer->begin(); itPost != outLayer->end(); itPost++){
            if(1+(int) (10.0*rand()/(RAND_MAX+1.0)) <= percentConnect){
                SpikingNeuron * sn = dynamic_cast <SpikingNeuron *> (*itPost);
                if(sn == NULL) throw runtime_error("Neuron id = " +
                                                   Utilities::itostr((*itPost)->GetId()) +
                                                   " is not a SpikingNeuron");
                nc.Connect(*itPre, sn, sProps);
            }
        }        
    }
}