Interface NeuralMethod
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- All Superinterfaces:
java.io.Serializable
- All Known Implementing Classes:
LinearUnit
,SigmoidUnit
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: 1.6 $
- Author:
- Malcolm Ware (mfw4@cs.waikato.ac.nz)
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Method Summary
All Methods Instance Methods Abstract Methods Modifier and Type Method Description double
errorValue(NeuralNode node)
This function calculates what the error value should be.double
outputValue(NeuralNode node)
This function calculates what the output value should be.void
updateWeights(NeuralNode node, double learn, double momentum)
This function will calculate what the change in weights should be and also update them.
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Method Detail
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outputValue
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.
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errorValue
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.
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updateWeights
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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