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java.lang.Objectjava.util.Observable
org.neuroph.core.learning.LearningRule
org.neuroph.core.learning.IterativeLearning
org.neuroph.core.learning.SupervisedLearning
public abstract class SupervisedLearning
Base class for all supervised learning algorithms. It extends IterativeLearning, and provides general supervised learning principles.
| Field Summary | |
|---|---|
protected double |
maxError
Max allowed network error (condition to stop learning) |
protected double |
totalNetworkError
Total network error |
| 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 | |
|---|---|
SupervisedLearning()
Creates new supervised learning rule |
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SupervisedLearning(NeuralNetwork network)
Creates new supervised learning rule and sets the neural network to train |
|
| Method Summary | |
|---|---|
void |
doLearningEpoch(TrainingSet trainingSet)
This method implements basic logic for one learning epoch for the supervised learning algorithms. |
protected java.util.Vector<java.lang.Double> |
getPatternError(java.util.Vector<java.lang.Double> output,
java.util.Vector<java.lang.Double> desiredOutput)
Calculates the network error for the current pattern - diference between desired and actual output |
java.lang.Double |
getTotalNetworkError()
Returns total network error |
protected void |
learnPattern(SupervisedTrainingElement trainingElement)
Trains network with the pattern from the specified training element |
void |
setMaxError(java.lang.Double maxError)
Sets allowed network error, which indicates when to stopLearning training |
protected abstract void |
updateNetworkWeights(java.util.Vector<java.lang.Double> patternError)
This method should implement the weights update procedure |
protected abstract void |
updateTotalNetworkError(java.util.Vector<java.lang.Double> patternError)
Subclasses update total network error for each training pattern with this method. |
| Methods inherited from class org.neuroph.core.learning.IterativeLearning |
|---|
getCurrentIteration, getLearningRate, learn, setLearningRate, setMaxIterations |
| Methods inherited from class org.neuroph.core.learning.LearningRule |
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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 |
| Field Detail |
|---|
protected double totalNetworkError
protected double maxError
| Constructor Detail |
|---|
public SupervisedLearning()
public SupervisedLearning(NeuralNetwork network)
network - network to train| Method Detail |
|---|
public void doLearningEpoch(TrainingSet trainingSet)
doLearningEpoch in class IterativeLearningtrainingSet - training set for training networkprotected void learnPattern(SupervisedTrainingElement trainingElement)
trainingElement - supervised training element which contains input and desired
output
protected java.util.Vector<java.lang.Double> getPatternError(java.util.Vector<java.lang.Double> output,
java.util.Vector<java.lang.Double> desiredOutput)
output - actual network outputdesiredOutput - desired network output
public void setMaxError(java.lang.Double maxError)
maxError - network errorpublic java.lang.Double getTotalNetworkError()
protected abstract void updateTotalNetworkError(java.util.Vector<java.lang.Double> patternError)
patternError - pattern error vectorprotected abstract void updateNetworkWeights(java.util.Vector<java.lang.Double> patternError)
patternError - pattern error vector
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