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

Inheritance: TrainFlatNetworkProp

显示文件 Open project: encog/encog-silverlight-core Class Usage Examples

Public Methods

Method	Description
InitOthers ( ) : void	Called to init the QPROP.
TrainFlatNetworkQPROP ( FlatNetwork network, IMLDataSet training, double theLearningRate ) : Encog.ML.Data	Construct a QPROP trainer for flat networks.
UpdateWeight ( double gradients, double lastGradient, int index ) : double	Update a weight.

Method Details

InitOthers() public method

Called to init the QPROP.

public InitOthers ( ) : void
return	void

TrainFlatNetworkQPROP() public method

Construct a QPROP trainer for flat networks.

public TrainFlatNetworkQPROP ( FlatNetwork network, IMLDataSet training, double theLearningRate ) : Encog.ML.Data
network	Encog.Neural.Flat.FlatNetwork	The network to train.
training	IMLDataSet	The training data.
theLearningRate	double	The learning rate. 2 is a good suggestion as /// a learning rate to start with. If it fails to converge, /// then drop it. Just like backprop, except QPROP can /// take higher learning rates.
return	Encog.ML.Data

UpdateWeight() public method

Update a weight.

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