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| Uses of MultiThreadable in org.encog.mathutil.matrices.hessian |
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| Classes in org.encog.mathutil.matrices.hessian that implement MultiThreadable | |
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class |
HessianCR
Calculate the Hessian matrix using the chain rule method. |
| Uses of MultiThreadable in org.encog.ml.genetic |
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| Classes in org.encog.ml.genetic that implement MultiThreadable | |
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class |
BasicGeneticAlgorithm
Provides a basic implementation of a genetic algorithm. |
class |
GeneticAlgorithm
Implements a genetic algorithm. |
| Uses of MultiThreadable in org.encog.neural.neat.training |
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| Classes in org.encog.neural.neat.training that implement MultiThreadable | |
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class |
NEATTraining
Implements NEAT genetic training. |
| Uses of MultiThreadable in org.encog.neural.networks.training.genetic |
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| Classes in org.encog.neural.networks.training.genetic that implement MultiThreadable | |
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class |
NeuralGeneticAlgorithm
Implements a genetic algorithm that allows a feedforward or simple recurrent neural network to be trained using a genetic algorithm. |
class |
NeuralGeneticAlgorithm.NeuralGeneticAlgorithmHelper
Very simple class that implements a genetic algorithm. |
| Uses of MultiThreadable in org.encog.neural.networks.training.lma |
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| Classes in org.encog.neural.networks.training.lma that implement MultiThreadable | |
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class |
LevenbergMarquardtTraining
Trains a neural network using a Levenberg Marquardt algorithm (LMA). |
| Uses of MultiThreadable in org.encog.neural.networks.training.propagation |
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| Classes in org.encog.neural.networks.training.propagation that implement MultiThreadable | |
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class |
Propagation
Implements basic functionality that is needed by each of the propagation methods. |
| Uses of MultiThreadable in org.encog.neural.networks.training.propagation.back |
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| Classes in org.encog.neural.networks.training.propagation.back that implement MultiThreadable | |
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class |
Backpropagation
This class implements a backpropagation training algorithm for feed forward neural networks. |
| Uses of MultiThreadable in org.encog.neural.networks.training.propagation.manhattan |
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| Classes in org.encog.neural.networks.training.propagation.manhattan that implement MultiThreadable | |
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class |
ManhattanPropagation
One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small. |
| Uses of MultiThreadable in org.encog.neural.networks.training.propagation.quick |
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| Classes in org.encog.neural.networks.training.propagation.quick that implement MultiThreadable | |
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class |
QuickPropagation
QPROP is an efficient training method that is based on Newton's Method. |
| Uses of MultiThreadable in org.encog.neural.networks.training.propagation.resilient |
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| Classes in org.encog.neural.networks.training.propagation.resilient that implement MultiThreadable | |
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class |
ResilientPropagation
One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small. |
| Uses of MultiThreadable in org.encog.neural.networks.training.propagation.scg |
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| Classes in org.encog.neural.networks.training.propagation.scg that implement MultiThreadable | |
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class |
ScaledConjugateGradient
This is a training class that makes use of scaled conjugate gradient methods. |
| Uses of MultiThreadable in org.encog.neural.prune |
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| Classes in org.encog.neural.prune that implement MultiThreadable | |
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class |
PruneIncremental
This class is used to help determine the optimal configuration for the hidden layers of a neural network. |
| Uses of MultiThreadable in org.encog.util.concurrency |
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| Classes in org.encog.util.concurrency that implement MultiThreadable | |
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class |
EngineConcurrency
This class abstracts thread pools, and potentially grids and other types of concurrency. |
| Uses of MultiThreadable in org.encog.util.concurrency.job |
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| Classes in org.encog.util.concurrency.job that implement MultiThreadable | |
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class |
ConcurrentJob
This class forms the basis for a job that can be run concurrently. |
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