Uses of Class
org.joone.engine.extenders.LearnerExtender

Packages that use LearnerExtender
org.joone.engine.extenders   
 

Uses of LearnerExtender in org.joone.engine.extenders
 

Subclasses of LearnerExtender in org.joone.engine.extenders
 class BatchModeExtender
          This class implements the offline learning, that is, batch mode.
 class 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.
 class 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.
 class MomentumExtender
          This extender implements the momentum term.
 class OnlineModeExtender
          This is the default weight updater (online).
 class RpropExtender
          This class changes the delta value in such a way that it implements the RPROP algorithm.
 class 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.
 class 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.
 class WeightDecayExtender
          Weight decay adds a penalty term to the error function.
 



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