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Interface weka.classifiers.neural.NeuralMethod


public interface NeuralMethod
extends java.io.Serializable
This is an interface used to create classes that can be used by the neuralnode to perform all it's computations.

Version:
$Revision: 1.2 $
Author:
Malcolm Ware (mfw4@cs.waikato.ac.nz)

Method Index

 o errorValue(NeuralNode)
This function calculates what the error value should be.
 o outputValue(NeuralNode)
This function calculates what the output value should be.
 o updateWeights(NeuralNode, double, double)
This function will calculate what the change in weights should be and also update them.

Method Detail

 o outputValue
public double outputValue(NeuralNode node)
          This function calculates what the output value should be.
Parameters:
node - The node to calculate the value for.
Returns:
The value.
 o errorValue
public double errorValue(NeuralNode node)
          This function calculates what the error value should be.
Parameters:
node - The node to calculate the error for.
Returns:
The error.
 o updateWeights
public void updateWeights(NeuralNode node,
                          double learn,
                          double momentum)
          This function will calculate what the change in weights should be and also update them.
Parameters:
node - The node to update the weights for.
learn - The learning rate to use.
momentum - The momentum to use.

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