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Neuroph | |||||||||
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Packages that use TrainingSet | |
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org.neuroph.core | This package provides base classes and basic building components for neural networks. |
org.neuroph.core.learning | This package provides base classes for neural network learning algorithms. |
org.neuroph.nnet.learning | This package provides implementations of concrete neural network learning algorithms. |
Uses of TrainingSet in org.neuroph.core |
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Methods in org.neuroph.core with parameters of type TrainingSet | |
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void |
NeuralNetwork.learn(TrainingSet trainingSetToLearn)
Trains the network to leran the specified training set. |
Uses of TrainingSet in org.neuroph.core.learning |
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Fields in org.neuroph.core.learning declared as TrainingSet | |
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private TrainingSet |
LearningRule.trainingSet
Collection of training elements |
Methods in org.neuroph.core.learning that return TrainingSet | |
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TrainingSet |
LearningRule.getTrainingSet()
Gets training set |
static TrainingSet |
TrainingSet.load(java.lang.String filePath)
Loads training set from the specified file |
Methods in org.neuroph.core.learning with parameters of type TrainingSet | |
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void |
UnsupervisedLearning.doLearningEpoch(TrainingSet trainingSet)
This method does one learning epoch for the unsupervised learning rules. |
void |
SupervisedLearning.doLearningEpoch(TrainingSet trainingSet)
This method implements basic logic for one learning epoch for the supervised learning algorithms. |
abstract void |
IterativeLearning.doLearningEpoch(TrainingSet trainingSet)
Override this method to implement specific learning epoch - one learning iteration, one pass through whole training set |
abstract void |
LearningRule.learn(TrainingSet trainingSet)
Override this method to implement specific learning procedures |
void |
IterativeLearning.learn(TrainingSet trainingSet)
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void |
LearningRule.setTrainingSet(TrainingSet trainingSet)
Sets training set for this learning rule |
Uses of TrainingSet in org.neuroph.nnet.learning |
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Methods in org.neuroph.nnet.learning with parameters of type TrainingSet | |
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void |
UnsupervisedHebbianLearning.doLearningEpoch(TrainingSet trainingSet)
This method does one learning epoch for the unsupervised learning rules. |
void |
CompetitiveLearning.doLearningEpoch(TrainingSet trainingSet)
This method does one learning epoch for the unsupervised learning rules. |
void |
KohonenLearning.learn(TrainingSet trainingSet)
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void |
HopfieldLearning.learn(TrainingSet trainingSet)
Calculates weights for the hopfield net to learn the specified training set |
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