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

Inheritance: TrainFlatNetworkProp
Datei anzeigen 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