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LearningAlgorithm Class Reference

#include <LearningAlgorithm.h>

Inheritance diagram for LearningAlgorithm:

List of all members.

Public Methods
virtual int	Learning (NetParams &net)=0
	Calls the learning algorithm.
TopologyImp *	getTopology ()
	Get the object of topology implementation.
Value_Type	alpha (Value_Type init, Value_Type ite, int t)
	returns the alpha value by time, alpha = learning rate
Value_Type	radius (Value_Type init, Value_Type ite, int t)
	Retruns the radius value related with the neirborhood.
TBMU *	getBMU ()
	Get the Two Best Match Units for all neurons after each epoch.
TBMU *	MakeBMU (const SOMData *data, const Mapcode *mapcode)
	Make the BMU matrix.
	~LearningAlgorithm ()
	Constructor.
Protected Methods
	LearningAlgorithm (const TopolParams &par)
	XXXXXXXX.
int	setActualIteraction (int ite)
	XXXXXXXX.

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Detailed Description

Implements the base class - LearningAlgorithm. Here we can find all basic methods related with the SOM learning.

Kohonen, Teuvo. "Self-Organizing Maps", Third Edition, Springer, 2001.

Author:

Marcos Aurélio Silva

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

• LearningAlgorithm.h
• LearningAlgorithm.cpp

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