nnfw/include/libradialfunctions.h
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00001 /******************************************************************************** 00002 * Neural Network Framework. * 00003 * Copyright (C) 2005-2011 Gianluca Massera <emmegian@yahoo.it> * 00004 * * 00005 * This program is free software; you can redistribute it and/or modify * 00006 * it under the terms of the GNU General Public License as published by * 00007 * the Free Software Foundation; either version 2 of the License, or * 00008 * (at your option) any later version. * 00009 * * 00010 * This program is distributed in the hope that it will be useful, * 00011 * but WITHOUT ANY WARRANTY; without even the implied warranty of * 00012 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * 00013 * GNU General Public License for more details. * 00014 * * 00015 * You should have received a copy of the GNU General Public License * 00016 * along with this program; if not, write to the Free Software * 00017 * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA * 00018 ********************************************************************************/ 00019 00020 #ifndef LIBRADIALFUNCTIONS_H 00021 #define LIBRADIALFUNCTIONS_H 00022 00023 #include "nnfwconfig.h" 00024 00030 #include "outputfunction.h" 00031 00032 namespace farsa { 00033 00037 class FARSA_NNFW_API GaussFunction : public OutputFunction { 00038 public: 00040 GaussFunction( double centre = 0.0, double variance = 1.0, double maxvaule = 1.0 ); 00042 virtual ~GaussFunction() { /* Nothing to do */ }; 00044 bool setVariance( double v ); 00046 double variance(); 00048 virtual void apply( DoubleVector& inputs, DoubleVector& outputs ); 00050 virtual bool derivate( const DoubleVector& x, const DoubleVector& y, DoubleVector& d ) const; 00061 virtual void configure(ConfigurationParameters& params, QString prefix); 00069 virtual void save(ConfigurationParameters& params, QString prefix); 00071 double centre; 00073 double max; 00074 private: 00075 // variance 00076 double variancev; 00077 // minus squared-variance 00078 double msqrvar; 00079 }; 00080 00081 } 00082 00083 #endif 00084