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

Worker class for the mulithreaded training of flat networks.

Inheritance: IFlatGradientWorker

Show file Open project: encog/encog-silverlight-core

Public Methods

Method	Description
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.

Private Methods

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

Method Details

GradientWorkerCPU() public method

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.
return	Encog.Engine.Data

Run() public method

Perform the gradient calculation for the specified index range.

public Run ( ) : void
return	void