IcaNet2_1.hpp Source File

00001 #ifndef __IcaNet2_1__
00002 #define __IcaNet2_1__
00003 
00029 #include "RealVector.hpp"
00030 
00031 class IcaNet2_1 
00032 {
00033 private:
00034 
00035 bool                    superGaussian;
00036 
00037 double          learnRate;
00038 
00039 RealVector*             w;
00040 double          wNorm2;
00041 RealVector*             dw;
00042 
00043 // moment et kurtosis
00044 double          v;
00045 
00046 double          m2;
00047 double          m4;
00048 double          kurt;
00049 
00050 protected:
00051 
00052 virtual void learn(RealVector* sample);
00053 
00054 public:
00055 
00056 // default is sub-gaussian
00057 IcaNet2_1(double rate=0.1, double weight=0.1)
00058  {learnRate=rate; superGaussian= false; w=0; dw=0; m4=kurt=0.0; v= weight;}
00059 virtual ~IcaNet2_1() 
00060  {
00061  if( w != 0 )
00062         { 
00063         delete w;
00064         delete dw;
00065         }
00066  }
00067 virtual RealVector* getW(){return w;}
00068 
00069 virtual bool isSuperGaussian(){return superGaussian;}
00070 
00071 // learning
00072 virtual void init(int size);
00073 virtual void learning(RealVector* sample, int nmax=1);
00074 
00075 // out
00076 virtual double forward(RealVector* src);                // maximise abslote value of kurtosis
00077 
00078 virtual void output()
00079         {
00080         printf("Single ICA Net");
00081         }                               
00082 };
00083 
00084 #endif