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## Uses of Package
org.encog.neural.networks.training

Packages that use org.encog.neural.networks.training
org.encog.neural.cpn.training | This package contains the instar and outstar training for the network.
org.encog.neural.neat.training |
org.encog.neural.networks.training | This package provides training for neural networks.
org.encog.neural.networks.training.anneal | This package trains neural network using simulated annealing.
org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks.
org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks.
org.encog.neural.networks.training.propagation.back | This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.manhattan | This package provides Manhattan propagation training for neural networks.
org.encog.neural.networks.training.propagation.quick | This package provides back propagation training for neural networks.
org.encog.neural.networks.training.propagation.resilient | This package provides resilient propagation training for neural networks.
org.encog.neural.networks.training.propagation.scg | This package provides SCG propagation training for neural networks.
org.encog.neural.networks.training.simple | This package provides simple ADALINE training.
org.encog.neural.som.training.basic | This package implements neighborhood training for the SOM.

Classes in org.encog.neural.networks.training used by org.encog.neural.cpn.training
LearningRate Specifies that a training algorithm has the concept of a learning rate.

Classes in org.encog.neural.networks.training used by org.encog.neural.neat.training
CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a neural network.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training
CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a neural network.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.anneal
CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a neural network.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.genetic
CalculateScore Used by simulated annealing and genetic algorithms to calculate the score for a neural network.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.propagation
Train This is an alias class for Encog 2.5 compatibility.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.propagation.back
LearningRate Specifies that a training algorithm has the concept of a learning rate.
Momentum Specifies that a training algorithm has the concept of a momentum.
Train This is an alias class for Encog 2.5 compatibility.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.propagation.manhattan
LearningRate Specifies that a training algorithm has the concept of a learning rate.
Train This is an alias class for Encog 2.5 compatibility.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.propagation.quick
LearningRate Specifies that a training algorithm has the concept of a learning rate.
Train This is an alias class for Encog 2.5 compatibility.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.propagation.resilient
Train This is an alias class for Encog 2.5 compatibility.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.propagation.scg
Train This is an alias class for Encog 2.5 compatibility.

Classes in org.encog.neural.networks.training used by org.encog.neural.networks.training.simple
LearningRate Specifies that a training algorithm has the concept of a learning rate.

Classes in org.encog.neural.networks.training used by org.encog.neural.som.training.basic
LearningRate Specifies that a training algorithm has the concept of a learning rate.

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