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

Construct a Bidirectional Access Memory (BAM) neural network. This neural network type learns to associate one pattern with another. The two patterns do not need to be of the same length. This network has two that are connected to each other. Though they are labeled as input and output layers to Encog, they are both equal, and should simply be thought of as the two layers that make up the net.
상속: INeuralNetworkPattern
파일 보기 프로젝트 열기: encog/encog-silverlight-core

공개 프로퍼티들

프로퍼티 타입 설명
TAG_F1 String
TAG_F2 String

공개 메소드들

메소드 설명
AddHiddenLayer ( int count ) : void

Unused, a BAM has no hidden layers.
Clear ( ) : void

Clear any settings on the pattern.
Generate ( ) : BasicNetwork

The generated network.

메소드 상세

AddHiddenLayer() 공개 메소드

Unused, a BAM has no hidden layers.
public AddHiddenLayer ( int count ) : void
count int Not used.
리턴 void

Clear() 공개 메소드

Clear any settings on the pattern.
public Clear ( ) : void
리턴 void

Generate() 공개 메소드

The generated network.
public Generate ( ) : BasicNetwork
리턴 BasicNetwork

프로퍼티 상세

TAG_F1 공개적으로 정적으로 프로퍼티

The F1 layer.
public static String TAG_F1
리턴 String

TAG_F2 공개적으로 정적으로 프로퍼티

The F2 layer.
public static String TAG_F2
리턴 String