Package | Description |
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org.encog.neural.error | |
org.encog.neural.networks.training.propagation |
Modifier and Type | Class and Description |
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class |
ATanErrorFunction
An ATan based error function.
|
class |
LinearErrorFunction
The standard linear error function, simply returns the difference
between the actual and ideal.
|
class |
OutputErrorFunction |
Modifier and Type | Method and Description |
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void |
Propagation.setErrorFunction(ErrorFunction ef) |
Constructor and Description |
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GradientWorker(FlatNetwork theNetwork,
Propagation theOwner,
MLDataSet theTraining,
int theLow,
int theHigh,
double[] flatSpot,
ErrorFunction ef)
Construct a gradient worker.
|
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