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

This class is used to generate an Elman style recurrent neural network. This network type consists of three regular layers, an input output and hidden layer. There is also a context layer which accepts output from the hidden layer and outputs back to the hidden layer. This makes it a recurrent neural network. The Elman neural network is useful for temporal input data. The specified activation function will be used on all layers. The Elman neural network is similar to the Jordan neural network.
Inheritance: INeuralNetworkPattern
Show file Open project: encog/encog-silverlight-core

Public Methods

Method Description
AddHiddenLayer ( int count ) : void

Add a hidden layer with the specified number of neurons.
Clear ( ) : void

Clear out any hidden neurons.
ElmanPattern ( ) : System

Create an object to generate Elman neural networks.
Generate ( ) : BasicNetwork

Generate the Elman neural network.

Method Details

AddHiddenLayer() public method

Add a hidden layer with the specified number of neurons.
public AddHiddenLayer ( int count ) : void
count int The number of neurons in this hidden layer.
return void

Clear() public method

Clear out any hidden neurons.
public Clear ( ) : void
return void

ElmanPattern() public method

Create an object to generate Elman neural networks.
public ElmanPattern ( ) : System
return System

Generate() public method

Generate the Elman neural network.
public Generate ( ) : BasicNetwork
return BasicNetwork