C# 클래스 Encog.Neural.Networks.Training.Lma.JacobianChainRule

상속: IComputeJacobian

파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드	설명
Calculate ( double weights ) : double	Calculate the Jacobian matrix.
JacobianChainRule ( BasicNetwork network, IMLDataSet indexableTraining ) : Encog.Engine.Network.Activation	Construct the chain rule calculation.

비공개 메소드들

메소드	설명
CalcDerivative ( IActivationFunction a, double d ) : double	Calculate the derivative.
CalcDerivative2 ( IActivationFunction a, double d ) : double	Calculate the derivative.
CalculateDerivatives ( IMLDataPair pair ) : double	Calculate the derivatives for this training set element.

메소드 상세

Calculate() 공개 메소드

Calculate the Jacobian matrix.

public Calculate ( double weights ) : double
weights	double	The weights for the neural network.
리턴	double

JacobianChainRule() 공개 메소드

Construct the chain rule calculation.

public JacobianChainRule ( BasicNetwork network, IMLDataSet indexableTraining ) : Encog.Engine.Network.Activation
network	Encog.Neural.Networks.BasicNetwork	The network to use.
indexableTraining	IMLDataSet	The training set to use.
리턴	Encog.Engine.Network.Activation