Search Java Classes and Packages
#Org.encog.mathutil.randomize Classes and Interfaces - 20 results found.
| Name | Description | Type | Package | Framework |
| AbstractBoxMuller | Provides the ability for subclasses to generate normally distributed random numbers. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| AbstractGenerateRandom | Provides a foundation for most random number generation. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| BasicGenerateRandom | A wrapper over Java's built in random number generator. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| BasicRandomFactory | Basic random number generator factory. | Class | org.encog.mathutil.randomize.factory | HeatonReasearch |
| BasicRandomizer | Provides basic functionality that most randomizers will need. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| ConsistentRandomizer | A randomizer that takes a seed and will always produce consistent results. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| ConstRandomizer | A randomizer that will create always set the random number to a const value, used mainly for testing. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| Distort | A randomizer that distorts what is already present in the neural network. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| FanInRandomizer | A randomizer that attempts to create starting weight values that are conducive to propagation training. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| GaussianRandomizer | Generally, you will not want to use this randomizer as a pure neural network randomizer. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| GenerateRandom | Interface that defines how random numbers are generated. | Interface | org.encog.mathutil.randomize.generate | HeatonReasearch |
| LinearCongruentialRandom | A Linear Congruential random number generator. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| MersenneTwisterGenerateRandom | The Mersenne twister is a pseudo random number generator developed in 1997 by Makoto Matsumoto and Takuji Nishimura that is based on a matrix linear recurrence over a finite binary field F2. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| MultiplyWithCarryGenerateRandom | In Multiply with Carry (MWC) is a pseudo random number generator computer science, multiply-with-carry (MWC) is a method invented by George Marsaglia for generating sequences of random integers based on an initial set | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |
| NguyenWidrowRandomizer | default weight initialization used by Encog, as it generally provides the most train-able neural network. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| RandomChoice | Generate random choices unevenly. | Class | org.encog.mathutil.randomize | HeatonReasearch |
| RandomFactory | Interface | org.encog.mathutil.randomize.factory | HeatonReasearch | |
| Randomizer | Defines the interface for a class that is capable of randomizing the weights and bias values of a neural network. | Interface | org.encog.mathutil.randomize | HeatonReasearch |
| RangeRandomizer | Class | org.encog.mathutil.randomize | HeatonReasearch | |
| SecureGenerateRandom | A wrapper over Java's crypto secure random number generator. | Class | org.encog.mathutil.randomize.generate | HeatonReasearch |