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Uses of BasicTraining in org.encog.ml.bayesian.training |
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Subclasses of BasicTraining in org.encog.ml.bayesian.training | |
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TrainBayesian
Train a Bayesian network. |
Uses of BasicTraining in org.encog.ml.fitting.gaussian |
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Subclasses of BasicTraining in org.encog.ml.fitting.gaussian | |
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TrainGaussian
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Uses of BasicTraining in org.encog.ml.fitting.linear |
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Subclasses of BasicTraining in org.encog.ml.fitting.linear | |
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TrainLinearRegression
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Uses of BasicTraining in org.encog.ml.genetic |
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Subclasses of BasicTraining in org.encog.ml.genetic | |
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MLMethodGeneticAlgorithm
Implements a genetic algorithm that allows an MLMethod that is encodable (MLEncodable) to be trained. |
Uses of BasicTraining in org.encog.ml.svm.training |
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Subclasses of BasicTraining in org.encog.ml.svm.training | |
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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 |
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Subclasses of BasicTraining in org.encog.neural.cpn.training | |
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TrainInstar
Used for Instar training of a CPN neural network. |
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TrainOutstar
Used for Instar training of a CPN neural network. |
Uses of BasicTraining in org.encog.neural.freeform.training |
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Subclasses of BasicTraining in org.encog.neural.freeform.training | |
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FreeformBackPropagation
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class |
FreeformPropagationTraining
Provides basic propagation functions to other trainers. |
class |
FreeformResilientPropagation
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Uses of BasicTraining in org.encog.neural.networks.training.anneal |
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Subclasses of BasicTraining in org.encog.neural.networks.training.anneal | |
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NeuralSimulatedAnnealing
This class implements a simulated annealing training algorithm for neural networks. |
Uses of BasicTraining in org.encog.neural.networks.training.cross |
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Subclasses of BasicTraining in org.encog.neural.networks.training.cross | |
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CrossTraining
Base class for cross training trainers. |
class |
CrossValidationKFold
Train using K-Fold cross validation. |
Uses of BasicTraining in org.encog.neural.networks.training.lma |
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Subclasses of BasicTraining in org.encog.neural.networks.training.lma | |
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LevenbergMarquardtTraining
Trains a neural network using a Levenberg Marquardt algorithm (LMA). |
Uses of BasicTraining in org.encog.neural.networks.training.nm |
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Subclasses of BasicTraining in org.encog.neural.networks.training.nm | |
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NelderMeadTraining
The Nelder-Mead method is a commonly used parameter optimization method that can be used for neural network training. |
Uses of BasicTraining in org.encog.neural.networks.training.pnn |
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Subclasses of BasicTraining in org.encog.neural.networks.training.pnn | |
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TrainBasicPNN
Train a PNN. |
Uses of BasicTraining in org.encog.neural.networks.training.propagation |
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Subclasses of BasicTraining in org.encog.neural.networks.training.propagation | |
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Propagation
Implements basic functionality that is needed by each of the propagation methods. |
Uses of BasicTraining in org.encog.neural.networks.training.propagation.back |
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Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.back | |
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Backpropagation
This class implements a backpropagation training algorithm for feed forward neural networks. |
Uses of BasicTraining in org.encog.neural.networks.training.propagation.manhattan |
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Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.manhattan | |
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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 |
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Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.quick | |
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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 |
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Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.resilient | |
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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 |
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Subclasses of BasicTraining in org.encog.neural.networks.training.propagation.scg | |
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ScaledConjugateGradient
This is a training class that makes use of scaled conjugate gradient methods. |
Uses of BasicTraining in org.encog.neural.networks.training.pso |
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Subclasses of BasicTraining in org.encog.neural.networks.training.pso | |
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NeuralPSO
Iteratively trains a population of neural networks by applying particle swarm optimisation (PSO). |
Uses of BasicTraining in org.encog.neural.networks.training.simple |
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Subclasses of BasicTraining in org.encog.neural.networks.training.simple | |
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TrainAdaline
Train an ADALINE neural network. |
Uses of BasicTraining in org.encog.neural.rbf.training |
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Subclasses of BasicTraining in org.encog.neural.rbf.training | |
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SVDTraining
Train a RBF neural network using a SVD. |
Uses of BasicTraining in org.encog.neural.som.training.basic |
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Subclasses of BasicTraining in org.encog.neural.som.training.basic | |
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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 |
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Subclasses of BasicTraining in org.encog.neural.som.training.clustercopy | |
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class |
SOMClusterCopyTraining
SOM cluster copy is a very simple trainer for SOM's. |
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