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Packages that use Randomizer | |
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org.encog.mathutil.randomize | |
org.encog.neural.networks.training.pso |
Uses of Randomizer in org.encog.mathutil.randomize |
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Classes in org.encog.mathutil.randomize that implement Randomizer | |
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class |
BasicRandomizer
Provides basic functionality that most randomizers will need. |
class |
ConsistentRandomizer
A randomizer that takes a seed and will always produce consistent results. |
class |
ConstRandomizer
A randomizer that will create always set the random number to a const value, used mainly for testing. |
class |
Distort
A randomizer that distorts what is already present in the neural network. |
class |
FanInRandomizer
A randomizer that attempts to create starting weight values that are conducive to propagation training. |
class |
GaussianRandomizer
Generally, you will not want to use this randomizer as a pure neural network randomizer. |
class |
NguyenWidrowRandomizer
Implementation of Nguyen-Widrow weight initialization. |
class |
RangeRandomizer
A randomizer that will create random weight and bias values that are between a specified range. |
Uses of Randomizer in org.encog.neural.networks.training.pso |
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Fields in org.encog.neural.networks.training.pso declared as Randomizer | |
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protected Randomizer |
NeuralPSO.m_randomizer
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Constructors in org.encog.neural.networks.training.pso with parameters of type Randomizer | |
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NeuralPSO(BasicNetwork network,
Randomizer randomizer,
CalculateScore calculateScore,
int populationSize)
Constructor. |
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