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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 |
org.encog.neural.neat.training |
org.encog.neural.networks.training |
org.encog.neural.networks.training.anneal |
org.encog.neural.networks.training.genetic |
org.encog.neural.networks.training.propagation |
org.encog.neural.networks.training.propagation.back |
org.encog.neural.networks.training.propagation.manhattan |
org.encog.neural.networks.training.propagation.quick |
org.encog.neural.networks.training.propagation.resilient |
org.encog.neural.networks.training.propagation.scg |
org.encog.neural.networks.training.pso |
org.encog.neural.networks.training.simple |
org.encog.neural.som.training.basic |

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.pso
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.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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