neuralNetworks.h

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/*
 * Copyright (C) 2013 iCub Facility - Istituto Italiano di Tecnologia
 * Author: Ugo Pattacini
 * email:  ugo.pattacini@iit.it
 * Permission is granted to copy, distribute, and/or modify this program
 * under the terms of the GNU General Public License, version 2 or any
 * later version published by the Free Software Foundation.
 *
 * A copy of the license can be found at
 * http://www.robotcub.org/icub/license/gpl.txt
 *
 * 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
*/
 
#ifndef __ICUB_OPT_NNTRAINING_H__
#define __ICUB_OPT_NNTRAINING_H__
 
#include <deque>
#include <yarp/os/all.h>
#include <yarp/sig/all.h>
 
#include <iCub/ctrl/neuralNetworks.h>
 
#ifdef WIN32
    #pragma warning(disable:4250)
#endif
 
namespace iCub
{
 
namespace optimization
{
 
class ff2LayNNTrain: virtual public iCub::ctrl::ff2LayNN
{
protected:
    yarp::os::Property bounds;
    void* App;
 
public:
    ff2LayNNTrain();
 
    void setBounds(const yarp::os::Property &bounds);
 
    virtual bool train(const unsigned int numHiddenNodes, const std::deque<yarp::sig::Vector> &in,
                       const std::deque<yarp::sig::Vector> &out, std::deque<yarp::sig::Vector> &pred,
                       double &error);
 
    virtual bool retrain(const std::deque<yarp::sig::Vector> &in, const std::deque<yarp::sig::Vector> &out,
                         std::deque<yarp::sig::Vector> &pred, double &error);
 
    virtual ~ff2LayNNTrain();
};
 
 
class ff2LayNNTrain_tansig_purelin: public ff2LayNNTrain,
                                    public iCub::ctrl::ff2LayNN_tansig_purelin                                    
{
};
 
}
 
}
 
#endif