C# Class Encog.Neural.Networks.Training.Propagation.Quick.QuickPropagation

QPROP is an efficient training method that is based on Newton's Method. QPROP was introduced in a paper: An Empirical Study of Learning Speed in Back-Propagation Networks" (Scott E. Fahlman, 1988) http://www.heatonresearch.com/wiki/Quickprop

Inheritance: Propagation, ILearningRate

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

Public Methods

Method	Description
IsValidResume ( TrainingContinuation state ) : bool	Determine if the specified continuation object is valid to resume with.
Pause ( ) : TrainingContinuation	Pause the training.
QuickPropagation ( IContainsFlat network, IMLDataSet training ) : System	Construct a QPROP trainer for flat networks. Uses a learning rate of 2.
QuickPropagation ( IContainsFlat network, IMLDataSet training, double learnRate ) : System	Construct a QPROP trainer for flat networks.
Resume ( TrainingContinuation state ) : void	Resume training.

Method Details

IsValidResume() public method

Determine if the specified continuation object is valid to resume with.

public IsValidResume ( TrainingContinuation state ) : bool
state	TrainingContinuation	The continuation object to check.
return	bool

Pause() public method

Pause the training.

public Pause ( ) : TrainingContinuation
return	TrainingContinuation

QuickPropagation() public method

Construct a QPROP trainer for flat networks. Uses a learning rate of 2.

public QuickPropagation ( IContainsFlat network, IMLDataSet training ) : System
network	IContainsFlat	The network to train.
training	IMLDataSet	The training data.
return	System

QuickPropagation() public method

Construct a QPROP trainer for flat networks.

public QuickPropagation ( IContainsFlat network, IMLDataSet training, double learnRate ) : System
network	IContainsFlat	The network to train.
training	IMLDataSet	The training data.
learnRate	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	System

Resume() public method

Resume training.

public Resume ( TrainingContinuation state ) : void
state	TrainingContinuation	The training state to return to.
return	void