C# Class Encog.Neural.Networks.Logic.FeedforwardLogic

Inheritance: INeuralLogic

Exibir arquivo Open project: encog/encog-silverlight-core

Public Methods

Method	Description
Compute ( INeuralData input, NeuralOutputHolder useHolder ) : INeuralData	Compute the output for a given input to the neural network. This method provides a parameter to specify an output holder to use. This holder allows propagation training to track the output from each layer. If you do not need this holder pass null, or use the other compare method.
Init ( BasicNetwork network ) : void	Setup the network logic, read parameters from the network.
PreprocessLayer ( ILayer layer, INeuralData input, ISynapse source ) : void	Can be overridden by subclasses. Usually used to implement recurrent layers.

Private Methods

Method	Description
Compute ( NeuralOutputHolder holder, ILayer layer, INeuralData input, ISynapse source ) : void	Internal computation method for a single layer. This is called, as the neural network processes.

Method Details

Compute() public method

Compute the output for a given input to the neural network. This method provides a parameter to specify an output holder to use. This holder allows propagation training to track the output from each layer. If you do not need this holder pass null, or use the other compare method.

public Compute ( INeuralData input, NeuralOutputHolder useHolder ) : INeuralData
input	INeuralData	The input provide to the neural network.
useHolder	NeuralOutputHolder	Allows a holder to be specified, this allows /// propagation training to check the output of each layer.
return	INeuralData

Init() public method

Setup the network logic, read parameters from the network.

public Init ( BasicNetwork network ) : void
network	BasicNetwork	The network that this logic class belongs to.
return	void

PreprocessLayer() public method

Can be overridden by subclasses. Usually used to implement recurrent layers.

public PreprocessLayer ( ILayer layer, INeuralData input, ISynapse source ) : void
layer	ILayer	The layer to process.
input	INeuralData	The input to this layer.
source	ISynapse	The source from this layer.
return	void