#Org.encog.neural.networks.training.propagation Classes and Interfaces

_{#Org.encog.neural.networks.training.propagation Classes and Interfaces - 11 results found.}

Name	Description	Type	Package	Framework
Backpropagation	This class implements a backpropagation training algorithm for feed forward neural networks.	Class	org.encog.neural.networks.training.propagation.back	HeatonReasearch
GradientWorker	Worker class for the mulithreaded training of flat networks.	Class	org.encog.neural.networks.training.propagation	HeatonReasearch
ManhattanPropagation	One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small.	Class	org.encog.neural.networks.training.propagation.manhattan	HeatonReasearch
PersistTrainingContinuation	Persist the training continuation.	Class	org.encog.neural.networks.training.propagation	HeatonReasearch
Propagation	methods.	Class	org.encog.neural.networks.training.propagation	HeatonReasearch
QuickPropagation	QPROP is an efficient training method that is based on Newton's Method.	Class	org.encog.neural.networks.training.propagation.quick	HeatonReasearch
ResilientPropagation	One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small.	Class	org.encog.neural.networks.training.propagation.resilient	HeatonReasearch
RPROPConst	Constants used for Resilient Propagation (RPROP) training.	Class	org.encog.neural.networks.training.propagation.resilient	HeatonReasearch
RPROPType	Allows the type of RPROP to be defined.	Class	org.encog.neural.networks.training.propagation.resilient	HeatonReasearch
ScaledConjugateGradient	This is a training class that makes use of scaled conjugate gradient methods.	Class	org.encog.neural.networks.training.propagation.scg	HeatonReasearch
TrainingContinuation	Allows training to be continued.	Class	org.encog.neural.networks.training.propagation	HeatonReasearch

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