C# 클래스 Encog.Neural.Networks.Training.PNN.TrainBasicPNN

Train a PNN.

상속: Encog.ML.Train.BasicTraining, ICalculationCriteria

공개 메소드들

메소드	설명
CalcErrorWithMultipleSigma ( double x, double der1, double der2, bool der ) : double	Calculate the error with multiple sigmas.
CalcErrorWithSingleSigma ( double sig ) : double	Calculate the error using a common sigma.
CalculateError ( IMLDataSet training, bool deriv ) : double	Calculate the error for the entire training set.
ComputeDeriv ( IMLData input, IMLData target ) : IMLData	Compute the derivative for target data.
Iteration ( ) : void
Pause ( ) : TrainingContinuation
Resume ( TrainingContinuation state ) : void
TrainBasicPNN ( BasicPNN network, IMLDataSet training ) : System	Train a BasicPNN.

Calculate the error with multiple sigmas.

public CalcErrorWithMultipleSigma ( double x, double der1, double der2, bool der ) : double
x	double	The data.
der1	double	The first derivative.
der2	double	The 2nd derivatives.
der	bool	Calculate the derivative.
리턴	double

Calculate the error using a common sigma.

public CalcErrorWithSingleSigma ( double sig ) : double
sig	double	The sigma to use.
리턴	double

Calculate the error for the entire training set.

public CalculateError ( IMLDataSet training, bool deriv ) : double
training	IMLDataSet	Training set to use.
deriv	bool	Should we find the derivative.
리턴	double

Compute the derivative for target data.

public ComputeDeriv ( IMLData input, IMLData target ) : IMLData
input	IMLData	The input.
target	IMLData	The target data.
리턴	IMLData

public final Iteration ( ) : void
리턴	void

public final Pause ( ) : TrainingContinuation
리턴	Encog.Neural.Networks.Training.Propagation.TrainingContinuation

public Resume ( TrainingContinuation state ) : void
state	Encog.Neural.Networks.Training.Propagation.TrainingContinuation
리턴	void

Train a BasicPNN.

public TrainBasicPNN ( BasicPNN network, IMLDataSet training ) : System
network	Encog.Neural.PNN.BasicPNN	The network to train.
training	IMLDataSet	The training data.
리턴	System