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IcaNet2_1 Class Reference

#include <IcaNet2_1.hpp>

Collaboration diagram for IcaNet2_1:

[legend]List of all members.

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Detailed Description

Two Unit Non-sphered ICA Separator.

Author:

Bernard De Cuyper

Version:

0.05

Date:

8/12/2003

 
Purpose:        Define a two unit non-sphered ICA single cell neural net 
                to get automatically a 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
	IcaNet2_1 (double rate=0.1, double weight=0.1)
virtual	~IcaNet2_1 ()
virtual RealVector *	getW ()
virtual bool	isSuperGaussian ()
virtual void	init (int size)
virtual void	learning (RealVector *sample, int nmax=1)
virtual double	forward (RealVector *src)
virtual void	output ()
Protected Methods
virtual void	learn (RealVector *sample)
Private Attributes
bool	superGaussian
double	learnRate
RealVector *	w
double	wNorm2
RealVector *	dw
double	v
double	m2
double	m4
double	kurt

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The documentation for this class was generated from the following files:

• IcaNet2_1.hpp
• IcaNet2_1.cpp

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

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.