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| Packages that use ErrorFunction | |
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| org.encog.neural.error | |
| org.encog.neural.networks.training.propagation | |
| Uses of ErrorFunction in org.encog.neural.error |
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| Classes in org.encog.neural.error that implement ErrorFunction | |
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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
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| Uses of ErrorFunction in org.encog.neural.networks.training.propagation |
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| Methods in org.encog.neural.networks.training.propagation with parameters of type ErrorFunction | |
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void |
Propagation.setErrorFunction(ErrorFunction ef)
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| Constructors in org.encog.neural.networks.training.propagation with parameters of type ErrorFunction | |
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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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