Uses of Interface
org.encog.neural.networks.training.LearningRate

Packages that use LearningRate
org.encog.neural.cpn.training   
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.simple   
org.encog.neural.som.training.basic   
 

Uses of LearningRate in org.encog.neural.cpn.training
 

Classes in org.encog.neural.cpn.training that implement LearningRate
 class TrainInstar
          Used for Instar training of a CPN neural network.
 class TrainOutstar
          Used for Instar training of a CPN neural network.
 

Uses of LearningRate in org.encog.neural.networks.training.propagation.back
 

Classes in org.encog.neural.networks.training.propagation.back that implement LearningRate
 class Backpropagation
          This class implements a backpropagation training algorithm for feed forward neural networks.
 

Uses of LearningRate in org.encog.neural.networks.training.propagation.manhattan
 

Classes in org.encog.neural.networks.training.propagation.manhattan that implement LearningRate
 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 LearningRate in org.encog.neural.networks.training.propagation.quick
 

Classes in org.encog.neural.networks.training.propagation.quick that implement LearningRate
 class QuickPropagation
          QPROP is an efficient training method that is based on Newton's Method.
 

Uses of LearningRate in org.encog.neural.networks.training.simple
 

Classes in org.encog.neural.networks.training.simple that implement LearningRate
 class TrainAdaline
          Train an ADALINE neural network.
 

Uses of LearningRate in org.encog.neural.som.training.basic
 

Classes in org.encog.neural.som.training.basic that implement LearningRate
 class BasicTrainSOM
          This class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM).
 



Copyright © 2014. All Rights Reserved.