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## org.neuroph.core.learning
Class UnsupervisedLearning

    java.lang.Object
      java.util.Observable
          org.neuroph.core.learning.LearningRule
              org.neuroph.core.learning.IterativeLearning
                  org.neuroph.core.learning.UnsupervisedLearning

All Implemented Interfaces:
  java.io.Serializable, java.lang.Runnable

Direct Known Subclasses:
  CompetitiveLearning, UnsupervisedHebbianLearning

    public abstract class UnsupervisedLearning

extends IterativeLearning
implements java.io.Serializable

Base class for all unsupervised learning algorithms.

See Also:
  Serialized Form

Field Summary

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
`UnsupervisedLearning()` Creates new unsupervised learning rule
`UnsupervisedLearning(NeuralNetwork neuralNetwork)` Creates new unsupervised learning rule and sets the neural network to train

Method Summary
`protected abstract void` | `adjustWeights()` This method implements the weight adjustment
`void` | `doLearningEpoch(TrainingSet trainingSet)` This method does one learning epoch for the unsupervised learning rules.
`protected void` | `learnPattern(TrainingElement trainingElement)` Trains network with the pattern from the specified training element

Methods inherited from class org.neuroph.core.learning.IterativeLearning
`getCurrentIteration, getLearningRate, learn, 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

### UnsupervisedLearning

    public UnsupervisedLearning()

  Creates new unsupervised learning rule

### UnsupervisedLearning

    public UnsupervisedLearning(NeuralNetwork neuralNetwork)

  Creates new unsupervised learning rule and sets the neural network to train

  Parameters:
    `neuralNetwork` - neural network to train

Method Detail

### doLearningEpoch

    public void doLearningEpoch(TrainingSet trainingSet)

  This method does one learning epoch for the unsupervised learning rules. It iterates through the training set and trains network weights for each element

  Specified by:
    `doLearningEpoch` in class `IterativeLearning`
  Parameters:
    `trainingSet` - training set for training network

### learnPattern

    protected void learnPattern(TrainingElement trainingElement)

  Trains network with the pattern from the specified training element

  Parameters:
    `trainingElement` - unsupervised training element which contains network input

### adjustWeights

    protected abstract void adjustWeights()

  This method implements the weight adjustment

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