C# 클래스 Encog.Engine.Network.Train.Gradient.GradientWorkerCPU

Worker class for the mulithreaded training of flat networks.

상속: IFlatGradientWorker

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

공개 메소드들

메소드	설명
GradientWorkerCPU ( FlatNetwork network, TrainFlatNetworkProp owner, IEngineIndexableSet training, int low, int high ) : Encog.Engine.Data	Construct a gradient worker.
Run ( ) : void	Perform the gradient calculation for the specified index range.

비공개 메소드들

메소드	설명
Process ( double input, double ideal ) : void	Process one training set element.
ProcessLevel ( int currentLevel ) : void	Process one level.

메소드 상세

GradientWorkerCPU() 공개 메소드

Construct a gradient worker.

public GradientWorkerCPU ( FlatNetwork network, TrainFlatNetworkProp owner, IEngineIndexableSet training, int low, int high ) : Encog.Engine.Data
network	Encog.Engine.Network.Flat.FlatNetwork	The network to train.
owner	Encog.Engine.Network.Train.Prop.TrainFlatNetworkProp	The owner that is doing the training.
training	IEngineIndexableSet	The training data.
low	int	The low index to use in the training data.
high	int	The high index to use in the training data.
리턴	Encog.Engine.Data

Run() 공개 메소드

Perform the gradient calculation for the specified index range.

public Run ( ) : void
리턴	void