C# 클래스 Encog.Neural.Networks.Synapse.WeightedSynapse

상속: BasicSynapse
파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드 설명
Clone ( ) : object

Clone this object.

Compute ( INeuralData input ) : INeuralData

Compute the weighted output from this synapse. Each neuron in the from layer has a weighted connection to each of the neurons in the next layer.

CreatePersistor ( ) : IPersistor

Return a persistor for this object.

WeightedSynapse ( ) : System

Simple default constructor.

WeightedSynapse ( ILayer fromLayer, ILayer toLayer ) : System

Construct a weighted synapse between the two layers.

메소드 상세

Clone() 공개 메소드

Clone this object.
public Clone ( ) : object
리턴 object

Compute() 공개 메소드

Compute the weighted output from this synapse. Each neuron in the from layer has a weighted connection to each of the neurons in the next layer.
public Compute ( INeuralData input ) : INeuralData
input INeuralData The input from the synapse.
리턴 INeuralData

CreatePersistor() 공개 메소드

Return a persistor for this object.
public CreatePersistor ( ) : IPersistor
리턴 IPersistor

WeightedSynapse() 공개 메소드

Simple default constructor.
public WeightedSynapse ( ) : System
리턴 System

WeightedSynapse() 공개 메소드

Construct a weighted synapse between the two layers.
public WeightedSynapse ( ILayer fromLayer, ILayer toLayer ) : System
fromLayer ILayer The starting layer.
toLayer ILayer The ending layer.
리턴 System