nnfw/include/biasedcluster.h

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/******************************************************************************
 *  Neural Network Framework.                                                 *
 *  Copyright (C) 2005-2011 Gianluca Massera <emmegian@yahoo.it>              *
 *                                                                            *
 *  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.                                       *
 *                                                                            *
 *  This program is distributed in the hope that it will be useful,           *
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of            *
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the             *
 *  GNU General Public License for more details.                              *
 *                                                                            *
 *  You should have received a copy of the GNU General Public License         *
 *  along with this program; if not, write to the Free Software               *
 *  Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA  02110-1301 USA *
 *****************************************************************************/

#ifndef BIASEDCLUSTER_H
#define BIASEDCLUSTER_H

#include "nnfwconfig.h"
#include "cluster.h"
#include "outputfunction.h"

namespace farsa {

class FARSA_NNFW_API BiasedCluster : public Cluster {
public:
    BiasedCluster( unsigned int numNeurons, QString name = "unnamed" );
    BiasedCluster( ConfigurationParameters& params, QString prefix );
    virtual ~BiasedCluster();
    void update();
    void setBias( unsigned int neuron, double bias );
    void setAllBiases( double bias );
    void setBiases( const DoubleVector& biases );
    double getBias( unsigned int neuron );
    DoubleVector& biases() {
        return biasesdata;
    };
    const DoubleVector& biases() const {
        return biasesdata;
    };
    void randomize( double min, double max );
    virtual void save(ConfigurationParameters& params, QString prefix);
    static void describe( QString type );
private:
    DoubleVector biasesdata;
    DoubleVector tempdata;
};

}

#endif