C# Class Encog.Neural.Networks.Pattern.RadialBasisPattern

A radial basis function (RBF) network uses several radial basis functions to provide a more dynamic hidden layer activation function than many other types of neural network. It consists of a input, output and hidden layer.

Inheritance: INeuralNetworkPattern

Afficher le fichier Open project: encog/encog-silverlight-core Class Usage Examples

Méthodes publiques

Méthode	Description
AddHiddenLayer ( int count ) : void	Add the hidden layer, this should be called once, as a RBF has a single hidden layer.
Clear ( ) : void	Clear out any hidden neurons.
Generate ( ) : BasicNetwork	Generate the RBF network.

Method Details

AddHiddenLayer() public méthode

Add the hidden layer, this should be called once, as a RBF has a single hidden layer.

public AddHiddenLayer ( int count ) : void
count	int	The number of neurons in the hidden layer.
Résultat	void

Clear() public méthode

Clear out any hidden neurons.

public Clear ( ) : void
Résultat	void

Generate() public méthode

Generate the RBF network.

public Generate ( ) : BasicNetwork
Résultat	BasicNetwork