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

Inheritance: TrainFlatNetworkProp

ファイルを表示 Open project: encog/encog-silverlight-core Class Usage Examples

Public Methods

Method	Description
InitOthers ( ) : void	Not needed for this training type.
TrainFlatNetworkResilient ( FlatNetwork flat, IMLDataSet trainingSet ) : System	Tran a network using RPROP.
TrainFlatNetworkResilient ( FlatNetwork network, IMLDataSet training, double zeroTolerance, double initialUpdate, double maxStep ) : System	Construct a resilient trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Calculate the amount to change the weight by.
UpdateWeightMinus ( double gradients, double lastGradient, int index ) : double
UpdateWeightPlus ( double gradients, double lastGradient, int index ) : double
UpdateiWeightMinus ( double gradients, double lastGradient, int index ) : double
UpdateiWeightPlus ( double gradients, double lastGradient, int index ) : double

Private Methods

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

Method Details

InitOthers() public method

Not needed for this training type.

public InitOthers ( ) : void
return	void

TrainFlatNetworkResilient() public method

Tran a network using RPROP.

public TrainFlatNetworkResilient ( FlatNetwork flat, IMLDataSet trainingSet ) : System
flat	Encog.Neural.Flat.FlatNetwork	The network to train.
trainingSet	IMLDataSet	The training data to use.
return	System

TrainFlatNetworkResilient() public method

Construct a resilient trainer for flat networks.

public TrainFlatNetworkResilient ( FlatNetwork network, IMLDataSet training, double zeroTolerance, double initialUpdate, double maxStep ) : System
network	Encog.Neural.Flat.FlatNetwork	The network to train.
training	IMLDataSet	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	System

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

UpdateWeightMinus() public method

public UpdateWeightMinus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
return	double

UpdateWeightPlus() public method

public UpdateWeightPlus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
return	double

UpdateiWeightMinus() public method

public UpdateiWeightMinus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
return	double

UpdateiWeightPlus() public method

public UpdateiWeightPlus ( double gradients, double lastGradient, int index ) : double
gradients	double
lastGradient	double
index	int
return	double