C# Class Encog.Engine.Network.Train.Prop.TrainFlatNetworkResilient

Train a flat network using RPROP.

Inheritance: TrainFlatNetworkProp

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

Public Methods

Method	Description
TrainFlatNetworkResilient ( FlatNetwork flat, IEngineDataSet trainingSet ) : Encog.Engine.Data	Tran a network using RPROP.
TrainFlatNetworkResilient ( FlatNetwork network, IEngineDataSet training, double zeroTolerance, double initialUpdate, double maxStep ) : Encog.Engine.Data	Construct a resilient trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Calculate the amount to change the weight by.

Private Methods

Method	Description
Sign ( double value ) : int	Determine the sign of the value.

Method Details

TrainFlatNetworkResilient() public method

Tran a network using RPROP.

public TrainFlatNetworkResilient ( FlatNetwork flat, IEngineDataSet trainingSet ) : Encog.Engine.Data
flat	Encog.Engine.Network.Flat.FlatNetwork	The network to train.
trainingSet	IEngineDataSet	The training data to use.
return	Encog.Engine.Data

TrainFlatNetworkResilient() public method

Construct a resilient trainer for flat networks.

public TrainFlatNetworkResilient ( FlatNetwork network, IEngineDataSet training, double zeroTolerance, double initialUpdate, double maxStep ) : Encog.Engine.Data
network	Encog.Engine.Network.Flat.FlatNetwork	The network to train.
training	IEngineDataSet	The training data to use.
zeroTolerance	double	How close a number should be to zero to be counted as zero.
initialUpdate	double	The initial update value.
maxStep	double	The maximum step value.
return	Encog.Engine.Data

UpdateWeight() public method

Calculate the amount to change the weight by.

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