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

A radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other types of neural network. It consists of a input, output and hidden layer.
상속: INeuralNetworkPattern
파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드 설명
AddHiddenLayer ( int count ) : void

Add the hidden layer, this should be called once, as a RBF has a single hidden layer.
Clear ( ) : void

Clear out any hidden neurons.
Generate ( ) : BasicNetwork

Generate the RBF network.

메소드 상세

AddHiddenLayer() 공개 메소드

Add the hidden layer, this should be called once, as a RBF has a single hidden layer.
public AddHiddenLayer ( int count ) : void
count int The number of neurons in the hidden layer.
리턴 void

Clear() 공개 메소드

Clear out any hidden neurons.
public Clear ( ) : void
리턴 void

Generate() 공개 메소드

Generate the RBF network.
public Generate ( ) : BasicNetwork
리턴 BasicNetwork