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| Packages that use BasicTraining | |
|---|---|
| org.encog.ml.svm.training | This package holds the classes used for SVM training. |
| org.encog.neural.cpn.training | This package contains the instar and outstar training for the network. |
| org.encog.neural.networks.training.anneal | This package trains neural network using simulated annealing. |
| org.encog.neural.networks.training.cross | This package provides cross validation training. |
| org.encog.neural.networks.training.genetic | This package provides genetic training for neural networks. |
| org.encog.neural.networks.training.lma | This package provides Levenberg Marquardt training for neural networks. |
| org.encog.neural.networks.training.pnn | This package provides PNN training. |
| org.encog.neural.networks.training.propagation | This package provides propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.back | This package provides back propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.manhattan | This package provides Manhattan propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.quick | This package provides back propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.resilient | This package provides resilient propagation training for neural networks. |
| org.encog.neural.networks.training.propagation.scg | This package provides SCG propagation training for neural networks. |
| org.encog.neural.networks.training.simple | This package provides simple ADALINE training. |
| org.encog.neural.rbf.training | This package contains a SVD trainer for RBF. |
| org.encog.neural.som.training.basic | This package implements neighborhood training for the SOM. |
| org.encog.neural.som.training.clustercopy | This package provides a very simple trianing method for SOM's. |
| Uses of BasicTraining in org.encog.ml.svm.training |
|---|
| Subclasses of BasicTraining in org.encog.ml.svm.training | |
|---|---|
class |
SVMSearchTrain
Provides training for Support Vector Machine networks. |
class |
SVMTrain
Provides training for Support Vector Machine networks. |
| Uses of BasicTraining in org.encog.neural.cpn.training |
|---|
| Subclasses of BasicTraining in org.encog.neural.cpn.training | |
|---|---|
class |
TrainInstar
Used for Instar training of a CPN neural network. |
class |
TrainOutstar
Used for Instar training of a CPN neural network. |
| Uses of BasicTraining in org.encog.neural.networks.training.anneal |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.anneal | |
|---|---|
class |
NeuralSimulatedAnnealing
This class implements a simulated annealing training algorithm for neural networks. |
| Uses of BasicTraining in org.encog.neural.networks.training.cross |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.cross | |
|---|---|
class |
CrossTraining
Base class for cross training trainers. |
class |
CrossValidationKFold
Train using K-Fold cross validation. |
| Uses of BasicTraining in org.encog.neural.networks.training.genetic |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.genetic | |
|---|---|
class |
NeuralGeneticAlgorithm
Implements a genetic algorithm that allows a feedforward or simple recurrent neural network to be trained using a genetic algorithm. |
| Uses of BasicTraining in org.encog.neural.networks.training.lma |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.lma | |
|---|---|
class |
LevenbergMarquardtTraining
Trains a neural network using a Levenberg Marquardt algorithm (LMA). |
| Uses of BasicTraining in org.encog.neural.networks.training.pnn |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.pnn | |
|---|---|
class |
TrainBasicPNN
Train a PNN. |
| Uses of BasicTraining in org.encog.neural.networks.training.propagation |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.propagation | |
|---|---|
class |
Propagation
Implements basic functionality that is needed by each of the propagation methods. |
| Uses of BasicTraining in org.encog.neural.networks.training.propagation.back |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.back | |
|---|---|
class |
Backpropagation
This class implements a backpropagation training algorithm for feed forward neural networks. |
| Uses of BasicTraining in org.encog.neural.networks.training.propagation.manhattan |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.manhattan | |
|---|---|
class |
ManhattanPropagation
One problem that the backpropagation technique has is that the magnitude of the partial derivative may be calculated too large or too small. |
| Uses of BasicTraining in org.encog.neural.networks.training.propagation.quick |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.quick | |
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class |
QuickPropagation
QPROP is an efficient training method that is based on Newton's Method. |
| Uses of BasicTraining in org.encog.neural.networks.training.propagation.resilient |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.resilient | |
|---|---|
class |
ResilientPropagation
One problem with the backpropagation algorithm is that the magnitude of the partial derivative is usually too large or too small. |
| Uses of BasicTraining in org.encog.neural.networks.training.propagation.scg |
|---|
| Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.scg | |
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class |
ScaledConjugateGradient
This is a training class that makes use of scaled conjugate gradient methods. |
| Uses of BasicTraining in org.encog.neural.networks.training.simple |
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| Subclasses of BasicTraining in org.encog.neural.networks.training.simple | |
|---|---|
class |
TrainAdaline
Train an ADALINE neural network. |
| Uses of BasicTraining in org.encog.neural.rbf.training |
|---|
| Subclasses of BasicTraining in org.encog.neural.rbf.training | |
|---|---|
class |
SVDTraining
Train a RBF neural network using a SVD. |
| Uses of BasicTraining in org.encog.neural.som.training.basic |
|---|
| Subclasses of BasicTraining in org.encog.neural.som.training.basic | |
|---|---|
class |
BasicTrainSOM
This class implements competitive training, which would be used in a winner-take-all neural network, such as the self organizing map (SOM). |
| Uses of BasicTraining in org.encog.neural.som.training.clustercopy |
|---|
| Subclasses of BasicTraining in org.encog.neural.som.training.clustercopy | |
|---|---|
class |
SOMClusterCopyTraining
SOM cluster copy is a very simple trainer for SOM's. |
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