C# 클래스 Encog.Neural.BAM.BAMNetwork

상속: Encog.ML.BasicML

공개 메소드들

메소드	설명
AddPattern ( IMLData inputPattern, IMLData outputPattern ) : void	Add a pattern to the neural network.
BAMNetwork ( ) : Encog.MathUtil.Matrices	Default constructor, used mainly for persistence.
BAMNetwork ( int theF1Count, int theF2Count ) : Encog.MathUtil.Matrices	Construct the BAM network.
Clear ( ) : void	Clear any connection weights.
Compute ( IMLData input ) : IMLData	Setup the network logic, read parameters from the network. NOT USED, call compute(NeuralInputData).
Compute ( NeuralDataMapping input ) : NeuralDataMapping	Compute the network for the specified input.
UpdateProperties ( ) : void

메소드	설명
GetWeight ( Matrix matrix, IMLData input, int x, int y ) : double	Get the specified weight.
PropagateLayer ( Matrix matrix, IMLData input, IMLData output ) : bool	Propagate the layer.

Add a pattern to the neural network.

public AddPattern ( IMLData inputPattern, IMLData outputPattern ) : void
inputPattern	IMLData	The input pattern.
outputPattern	IMLData	The output pattern(for this input).
리턴	void

Default constructor, used mainly for persistence.

public BAMNetwork ( ) : Encog.MathUtil.Matrices
리턴	Encog.MathUtil.Matrices

Construct the BAM network.

public BAMNetwork ( int theF1Count, int theF2Count ) : Encog.MathUtil.Matrices
theF1Count	int	The F1 count.
theF2Count	int	The F2 count.
리턴	Encog.MathUtil.Matrices

Clear any connection weights.

public Clear ( ) : void
리턴	void

Setup the network logic, read parameters from the network. NOT USED, call compute(NeuralInputData).

public Compute ( IMLData input ) : IMLData
input	IMLData	NOT USED
리턴	IMLData

Compute the network for the specified input.

public Compute ( NeuralDataMapping input ) : NeuralDataMapping
input	Encog.Neural.Networks.NeuralDataMapping	The input to the network.
리턴	Encog.Neural.Networks.NeuralDataMapping

public UpdateProperties ( ) : void
리턴	void