| 프로퍼티 | 타입 | 설명 | |
|---|---|---|---|
| __DefaultInstance | IActivationFunction |
| 메소드 | 설명 | |
|---|---|---|
| Calculate ( double x, double auxArgs ) : double |
Calculates the output value for the specified input value.
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| Calculate ( float x, float auxArgs ) : float |
Calculates the output value for the specified input value with float/single precision. This single precision overload of Calculate() will be used in neural network code that has been specifically written to use floats instead of doubles.
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| GetRandomAuxArgs ( XorShiftRandom rng, double connectionWeightRange ) : double[] |
For activation functions that accept auxiliary arguments; generates random initial values for aux arguments for newly added nodes (from an 'add neuron' mutation).
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| MutateAuxArgs ( double auxArgs, XorShiftRandom rng, SharpNeat.Utility.ZigguratGaussianSampler gaussianSampler, double connectionWeightRange ) : void |
Genetic mutation for auxiliary argument data.
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| public Calculate ( double x, double auxArgs ) : double | ||
| x | double | |
| auxArgs | double | |
| 리턴 | double | |
| public Calculate ( float x, float auxArgs ) : float | ||
| x | float | |
| auxArgs | float | |
| 리턴 | float | |
| public GetRandomAuxArgs ( XorShiftRandom rng, double connectionWeightRange ) : double[] | ||
| rng | XorShiftRandom | |
| connectionWeightRange | double | |
| 리턴 | double[] | |
| public MutateAuxArgs ( double auxArgs, XorShiftRandom rng, SharpNeat.Utility.ZigguratGaussianSampler gaussianSampler, double connectionWeightRange ) : void | ||
| auxArgs | double | |
| rng | XorShiftRandom | |
| gaussianSampler | SharpNeat.Utility.ZigguratGaussianSampler | |
| connectionWeightRange | double | |
| 리턴 | void | |