Package org.joone.engine.extenders

Class Summary

Class	Description
BatchModeExtender	This class implements the offline learning, that is, batch mode.
DeltaRuleExtender	This abstract class describes the methods needed for a delta rule extender, that is, a class that computes / changes the delta (update weight) value according to some algorithm.
GradientExtender	This abstract class describes the methods needed for a gradient extender, that is, a class that computes / changes the gradient value according to some algorithm.
LearnerExtender	This abstract class describes the methods that any learner extender must provide.
MomentumExtender	This extender implements the momentum term.
OnlineModeExtender	This is the default weight updater (online).
RpropExtender	This class changes the delta value in such a way that it implements the RPROP algorithm.
SimulatedAnnealingExtender	Simulated annealing (SA) refers to the process in which random or thermal noise in a system is systematically decreased over time so as to enhance the system's response.
UpdateWeightExtender	This abstract class describes the methods needed for a update weight extender, that is, a class that updates weights (storing) according to some algorithm (e.g.
WeightDecayExtender	Weight decay adds a penalty term to the error function.