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

This class is used to generate an Elman style recurrent neural network. This network type consists of three regular layers, an input output and hidden layer. There is also a context layer which accepts output from the hidden layer and outputs back to the hidden layer. This makes it a recurrent neural network. The Elman neural network is useful for temporal input data. The specified activation function will be used on all layers. The Elman neural network is similar to the Jordan neural network.
상속: INeuralNetworkPattern
파일 보기 프로젝트 열기: encog/encog-silverlight-core

공개 메소드들

메소드 설명
AddHiddenLayer ( int count ) : void

Add a hidden layer with the specified number of neurons.
Clear ( ) : void

Clear out any hidden neurons.
ElmanPattern ( ) : System

Create an object to generate Elman neural networks.
Generate ( ) : BasicNetwork

Generate the Elman neural network.

메소드 상세

AddHiddenLayer() 공개 메소드

Add a hidden layer with the specified number of neurons.
public AddHiddenLayer ( int count ) : void
count int The number of neurons in this hidden layer.
리턴 void

Clear() 공개 메소드

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

ElmanPattern() 공개 메소드

Create an object to generate Elman neural networks.
public ElmanPattern ( ) : System
리턴 System

Generate() 공개 메소드

Generate the Elman neural network.
public Generate ( ) : BasicNetwork
리턴 BasicNetwork