C# 클래스 Encog.Neural.NEAT.NEATNetwork

상속: Encog.ML.BasicML, IMLContext, IMLRegression, IMLError

공개 메소드들

메소드	설명
CalculateError ( IMLDataSet data ) : double	Calculate the error for this neural network.
ClearContext ( ) : void	Clear any context from previous runs. This sets the activation of all neurons to zero.
Compute ( IMLData input ) : IMLData	Compute the output from this synapse.
NEATNetwork ( ) : System	Default constructor.
NEATNetwork ( int inputCount, int outputCount ) : System	Construct a NEAT network.
NEATNetwork ( int inputCount, int outputCount, IEnumerable neurons, IActivationFunction activationFunction, IActivationFunction outputActivationFunction, int networkDepth ) : System	Construct a NEAT synapse.
UpdateProperties ( ) : void	Not needed.

Calculate the error for this neural network.

public CalculateError ( IMLDataSet data ) : double
data	IMLDataSet	The training set.
리턴	double

Clear any context from previous runs. This sets the activation of all neurons to zero.

public ClearContext ( ) : void
리턴	void

Compute the output from this synapse.

public Compute ( IMLData input ) : IMLData
input	IMLData	The input to this synapse.
리턴	IMLData

Default constructor.

public NEATNetwork ( ) : System
리턴	System

Construct a NEAT network.

public NEATNetwork ( int inputCount, int outputCount ) : System
inputCount	int	The input count.
outputCount	int	The output count.
리턴	System

Construct a NEAT synapse.

public NEATNetwork ( int inputCount, int outputCount, IEnumerable neurons, IActivationFunction activationFunction, IActivationFunction outputActivationFunction, int networkDepth ) : System
inputCount	int	The number of input neurons.
outputCount	int	The number of output neurons.
neurons	IEnumerable	The neurons in this synapse.
activationFunction	IActivationFunction	The activation function to use.
outputActivationFunction	IActivationFunction	The output activation function.
networkDepth	int	The depth of the network.
리턴	System

Not needed.

public UpdateProperties ( ) : void
리턴	void