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

Inheritance: IComputeJacobian

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Public Methods

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

Private Methods

Method	Description
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.

Method Details

Calculate() public method

Calculate the Jacobian matrix.

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

JacobianChainRule() public method

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.
return	Encog.Engine.Network.Activation