Package | Description |
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org.encog.neural.freeform | |
org.encog.neural.freeform.training |
Modifier and Type | Method and Description |
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static FreeformNetwork |
FreeformNetwork.createElman(int input,
int hidden1,
int output,
ActivationFunction af)
Construct an Elmann recurrent neural network.
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static FreeformNetwork |
FreeformNetwork.createFeedforward(int input,
int hidden1,
int hidden2,
int output,
ActivationFunction af)
Create a feedforward freeform neural network.
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Constructor and Description |
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FreeformBackPropagation(FreeformNetwork theNetwork,
MLDataSet theTraining,
double theLearningRate,
double theMomentum)
Construct a back propagation trainer.
|
FreeformPropagationTraining(FreeformNetwork theNetwork,
MLDataSet theTraining)
Construct the trainer.
|
FreeformResilientPropagation(FreeformNetwork theNetwork,
MLDataSet theTraining)
Construct the RPROP trainer, Use default intiial update and max step.
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FreeformResilientPropagation(FreeformNetwork theNetwork,
MLDataSet theTraining,
double initialUpdate,
double theMaxStep)
Construct the RPROP trainer.
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