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

A self organizing map is a neural network pattern with an input and output layer. There is no hidden layer. The winning neuron, which is that neuron with the higest output is the winner, this winning neuron is often used to classify the input into a group.

Inheritance: INeuralNetworkPattern

Afficher le fichier Open project: encog/encog-silverlight-core

Méthodes publiques

Méthode	Description
AddHiddenLayer ( int count ) : void	Add a hidden layer. SOM networks do not have hidden layers, so this will throw an error.
Clear ( ) : void	Does nothing, no optinal hidden layers to clear, only the ONE predefined hidden layer.
Generate ( ) : BasicNetwork	Generate the RSOM network.

Method Details

AddHiddenLayer() public méthode

Add a hidden layer. SOM networks do not have hidden layers, so this will throw an error.

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

Clear() public méthode

Does nothing, no optinal hidden layers to clear, only the ONE predefined hidden layer.

public Clear ( ) : void
Résultat	void

Generate() public méthode

Generate the RSOM network.

public Generate ( ) : BasicNetwork
Résultat	BasicNetwork