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.