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IcaNet Class Reference

#include <IcaNet.hpp>

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Detailed Description

Single Sphered ICA Separator.

Author:
Bernard De Cuyper
Version:
0.05
Date:
7/12/2003
 
Purpose:        Define a sphered ICA single cell neural net to get sub-gaussian or super-gaussian IC component.

Paper:  "Simple Neural Models for Independent Component Analysis.", 
                Aapo Hyvarinen and Erkki Oja, 18/02/1997 , Report University of Technology, Helsinski.

                "One Unit Learning Rules for Independent Component Analysis.", 
                Aapo Hyvarinen and Erkki Oja, 1997 , Helsinski.
                

@ Copyrights: Bernard De Cuyper & Eddy Fraiha 2003, Eggs & Pictures. MIT/Open BSD copyright model.


Public Methods

 IcaNet (double rate, double ax, double bx, bool superType)
 IcaNet (double rate, double ax, double bx, double cx, bool superType)
virtual ~IcaNet ()
virtual RealVectorgetW ()
virtual void init (int size)
virtual void learning (RealVector *sample, int nmax=1)
virtual double forward (RealVector *src)
virtual void output ()

Protected Methods

virtual double g (double u)
virtual double gMin (double u)
virtual double gPlus (double u)
virtual void learn (RealVector *sample)

Private Attributes

bool superGaussian
bool combined
double learnRate
double a
double b
double c
RealVectorw
double wNorm2
RealVectordw


The documentation for this class was generated from the following files:
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Bernard De Cuyper: Open Project Leader: Concept, design and development.
Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only.
Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.
bern_bdc@hotmail.com