C# Class Encog.Neural.Flat.Train.Prop.TrainFlatNetworkBackPropagation

Inheritance: TrainFlatNetworkProp

Mostra file Open project: encog/encog-silverlight-core Class Usage Examples

Public Methods

Method	Description
InitOthers ( ) : void	Not needed for this training type.
TrainFlatNetworkBackPropagation ( FlatNetwork network, IMLDataSet training, double theLearningRate, double theMomentum ) : Encog.ML.Data	Construct a backprop trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Update a weight.

Method Details

InitOthers() public method

Not needed for this training type.

public InitOthers ( ) : void
return	void

TrainFlatNetworkBackPropagation() public method

Construct a backprop trainer for flat networks.

public TrainFlatNetworkBackPropagation ( FlatNetwork network, IMLDataSet training, double theLearningRate, double theMomentum ) : Encog.ML.Data
network	Encog.Neural.Flat.FlatNetwork	The network to train.
training	IMLDataSet	The training data.
theLearningRate	double	The learning rate.
theMomentum	double	The momentum.
return	Encog.ML.Data

UpdateWeight() public final method

Update a weight.

public final UpdateWeight ( double gradients, double lastGradient, int index ) : double
gradients	double	The gradients.
lastGradient	double	The last gradients.
index	int	The index.
return	double