FuzzyART.H

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00001 /*!@file Learn/FuzzyART.H  */
00002 
00003 // //////////////////////////////////////////////////////////////////// //
00004 // The iLab Neuromorphic Vision C++ Toolkit - Copyright (C) 2000-2005   //
00005 // by the University of Southern California (USC) and the iLab at USC.  //
00006 // See http://iLab.usc.edu for information about this project.          //
00007 // //////////////////////////////////////////////////////////////////// //
00008 // Major portions of the iLab Neuromorphic Vision Toolkit are protected //
00009 // under the U.S. patent ``Computation of Intrinsic Perceptual Saliency //
00010 // in Visual Environments, and Applications'' by Christof Koch and      //
00011 // Laurent Itti, California Institute of Technology, 2001 (patent       //
00012 // pending; application number 09/912,225 filed July 23, 2001; see      //
00013 // http://pair.uspto.gov/cgi-bin/final/home.pl for current status).     //
00014 // //////////////////////////////////////////////////////////////////// //
00015 // This file is part of the iLab Neuromorphic Vision C++ Toolkit.       //
00016 //                                                                      //
00017 // The iLab Neuromorphic Vision C++ Toolkit is free software; you can   //
00018 // redistribute it and/or modify it under the terms of the GNU General  //
00019 // Public License as published by the Free Software Foundation; either  //
00020 // version 2 of the License, or (at your option) any later version.     //
00021 //                                                                      //
00022 // The iLab Neuromorphic Vision C++ Toolkit is distributed in the hope  //
00023 // that it will be useful, but WITHOUT ANY WARRANTY; without even the   //
00024 // implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR      //
00025 // PURPOSE.  See the GNU General Public License for more details.       //
00026 //                                                                      //
00027 // You should have received a copy of the GNU General Public License    //
00028 // along with the iLab Neuromorphic Vision C++ Toolkit; if not, write   //
00029 // to the Free Software Foundation, Inc., 59 Temple Place, Suite 330,   //
00030 // Boston, MA 02111-1307 USA.                                           //
00031 // //////////////////////////////////////////////////////////////////// //
00032 //
00033 // Primary maintainer for this file: John Shen <shenjohn@usc.edu>
00034 // $HeadURL: svn://isvn.usc.edu/software/invt/trunk/saliency/src/Learn/FuzzyART.H $
00035 // $Id: FuzzyART.H 13373 2010-05-09 04:28:40Z jshen $
00036 //
00037 
00038 #ifndef FuzzyART_H_DEFINED
00039 #define FuzzyART_H_DEFINED
00040 
00041 #include "Component/ModelComponent.H"
00042 #include "Component/ModelParam.H"
00043 #include "Component/OptionManager.H"
00044 
00045 class FuzzyART : public ModelComponent
00046 {
00047 public:
00048   FuzzyART(OptionManager& mgr, 
00049            const std::string& descrName = "Fuzzy ART Learning Module", 
00050            const std::string& tagName="FuzzyART");
00051 
00052   void start2();
00053   struct Unit {
00054     std::vector<double> weights;
00055     double activity;
00056     bool committed; 
00057     //    Unit(uint siz, bool comp) : committed(false) {
00058     //if(!comp) weights.assign(1,siz);
00059     //else weights.assign(1,siz*2);
00060     //}
00061   };
00062 
00063   typedef std::vector<Unit> Layer;
00064 
00065   // returns -1 if max number of clusters is hit
00066   uint learnInput(std::vector<double> input);
00067 
00068   uint getInputSize() const {return itsInputSize.getVal();}
00069 
00070   uint getMaxCategories() const {return itsNumCategories.getVal();}
00071 
00072 
00073 private:
00074   std::vector<double> complementCode(const std::vector<double> c) const;
00075   
00076   double choiceFunction(const uint cat) const; //choice function T_j
00077   bool vigilanceCrit(const uint cat) const; //vigilance criterion;
00078   void updateWeights(const uint cat);
00079   uint numUnitsCommitted() const;
00080 
00081   // utility math functions
00082   std::vector<double> fuzzyAnd(const std::vector<double> A, const std::vector<double> B) const;
00083   double norm(const std::vector<double> A) const;
00084 
00085   Layer itsF1;
00086   std::vector<double> itsCurrInput;
00087 
00088   OModelParam<uint> itsInputSize;
00089   OModelParam<uint> itsNumCategories;
00090   OModelParam<bool> itsComplementCoded;  
00091   OModelParam<double> itsAlpha; //choice parameter
00092   OModelParam<double> itsBeta; //learning rate parameter
00093   OModelParam<double> itsRho; //vigilance parameter
00094   
00095 };
00096 
00097 // ######################################################################
00098 /* So things look consistent in everyone's emacs... */
00099 /* Local Variables: */
00100 /* indent-tabs-mode: nil */
00101 /* End: */
00102 
00103 #endif // LEARN_FUZZYART_H_DEFINED
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