C# 클래스 Encog.Neural.Networks.Pattern.SOMPattern

A self organizing map is a neural network pattern with an input and output layer. There is no hidden layer. The winning neuron, which is that neuron with the higest output is the winner, this winning neuron is often used to classify the input into a group.

상속: INeuralNetworkPattern

파일 보기 프로젝트 열기: encog/encog-silverlight-core

공개 메소드들

메소드	설명
AddHiddenLayer ( int count ) : void	Add a hidden layer. SOM networks do not have hidden layers, so this will throw an error.
Clear ( ) : void	Does nothing, no optinal hidden layers to clear, only the ONE predefined hidden layer.
Generate ( ) : BasicNetwork	Generate the RSOM network.

메소드 상세

AddHiddenLayer() 공개 메소드

Add a hidden layer. SOM networks do not have hidden layers, so this will throw an error.

public AddHiddenLayer ( int count ) : void
count	int	The number of hidden neurons.
리턴	void

Clear() 공개 메소드

Does nothing, no optinal hidden layers to clear, only the ONE predefined hidden layer.

public Clear ( ) : void
리턴	void

Generate() 공개 메소드

Generate the RSOM network.

public Generate ( ) : BasicNetwork
리턴	BasicNetwork