org.neuroph.nnet.learning
Class BackPropagation

java.lang.Object
  extended by java.util.Observable
      extended by org.neuroph.core.learning.LearningRule
          extended by org.neuroph.core.learning.IterativeLearning
              extended by org.neuroph.core.learning.SupervisedLearning
                  extended by org.neuroph.nnet.learning.LMS
                      extended by org.neuroph.nnet.learning.SigmoidDeltaRule
                          extended by org.neuroph.nnet.learning.BackPropagation
All Implemented Interfaces:
java.io.Serializable, java.lang.Runnable
Direct Known Subclasses:
MomentumBackpropagation

public class BackPropagation
extends SigmoidDeltaRule

Back Propagation learning rule for Multi Layer Perceptron neural networks.

Author:
Zoran Sevarac
See Also:
Serialized Form

Field Summary
 
Fields inherited from class org.neuroph.core.learning.SupervisedLearning
maxError, totalNetworkError
 
Fields inherited from class org.neuroph.core.learning.IterativeLearning
currentIteration, iterationsLimited, learningRate, maxIterations
 
Fields inherited from class org.neuroph.core.learning.LearningRule
neuralNetwork
 
Constructor Summary
BackPropagation()
          Creates new instance of BackPropagation learning
BackPropagation(NeuralNetwork neuralNetwork)
          Creates new instance of BackPropagation learning for the specified neural network
 
Method Summary
protected  void updateNetworkWeights(java.util.Vector<java.lang.Double> patternError)
          This method implements weight update procedure for the whole network for the specified error vector
 
Methods inherited from class org.neuroph.nnet.learning.SigmoidDeltaRule
adjustOutputNeurons
 
Methods inherited from class org.neuroph.nnet.learning.LMS
updateNeuronWeights, updateTotalNetworkError
 
Methods inherited from class org.neuroph.core.learning.SupervisedLearning
doLearningEpoch, getPatternError, getTotalNetworkError, learn, learn, learnPattern, setMaxError
 
Methods inherited from class org.neuroph.core.learning.IterativeLearning
doOneLearningIteration, getCurrentIteration, getLearningRate, isPausedLearning, learn, learn, pause, resume, setLearningRate, setMaxIterations
 
Methods inherited from class org.neuroph.core.learning.LearningRule
getNeuralNetwork, getTrainingSet, isStopped, notifyChange, run, setNeuralNetwork, setTrainingSet, stopLearning
 
Methods inherited from class java.util.Observable
addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

BackPropagation

public BackPropagation()
Creates new instance of BackPropagation learning


BackPropagation

public BackPropagation(NeuralNetwork neuralNetwork)
Creates new instance of BackPropagation learning for the specified neural network

Parameters:
neuralNetwork -
Method Detail

updateNetworkWeights

protected void updateNetworkWeights(java.util.Vector<java.lang.Double> patternError)
This method implements weight update procedure for the whole network for the specified error vector

Overrides:
updateNetworkWeights in class SigmoidDeltaRule
Parameters:
patternError - single pattern error vector