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

Inheritance: TrainFlatNetworkProp
Show 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