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| Packages that use BasicML | |
|---|---|
| org.encog.ml.svm | This package contains all of the classes for support vector machines. |
| org.encog.neural.art | This package contains the classes for ART neural networks. |
| org.encog.neural.bam | THis package contains the classes for BAM networks. |
| org.encog.neural.cpn | This package contains the classes for CPN networks. |
| org.encog.neural.neat | |
| org.encog.neural.networks | This package contains the neural network machine learning methods. |
| org.encog.neural.pnn | This package contains the classes for the PNN. |
| org.encog.neural.rbf | This package contains classes for RBF networks. |
| org.encog.neural.som | This package contains classes for the SOM. |
| org.encog.neural.thermal | This package implements thermal neural networks, such as Hopfield and Boltzmann machines. |
| Uses of BasicML in org.encog.ml.svm |
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| Subclasses of BasicML in org.encog.ml.svm | |
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class |
SVM
This is a network that is backed by one or more Support Vector Machines (SVM). |
| Uses of BasicML in org.encog.neural.art |
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| Subclasses of BasicML in org.encog.neural.art | |
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class |
ART
Adaptive Resonance Theory (ART) is a form of neural network developed by Stephen Grossberg and Gail Carpenter. |
class |
ART1
Implements an ART1 neural network. |
| Uses of BasicML in org.encog.neural.bam |
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| Subclasses of BasicML in org.encog.neural.bam | |
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class |
BAM
Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988. |
| Uses of BasicML in org.encog.neural.cpn |
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| Subclasses of BasicML in org.encog.neural.cpn | |
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class |
CPN
Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987. |
| Uses of BasicML in org.encog.neural.neat |
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| Subclasses of BasicML in org.encog.neural.neat | |
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class |
NEATNetwork
Implements a NEAT network as a synapse between two layers. |
| Uses of BasicML in org.encog.neural.networks |
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| Subclasses of BasicML in org.encog.neural.networks | |
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class |
BasicNetwork
This class implements a neural network. |
| Uses of BasicML in org.encog.neural.pnn |
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| Subclasses of BasicML in org.encog.neural.pnn | |
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class |
AbstractPNN
Abstract class to build PNN networks upon. |
class |
BasicPNN
This class implements either a: Probabilistic Neural Network (PNN) General Regression Neural Network (GRNN) To use a PNN specify an output mode of classification, to make use of a GRNN specify either an output mode of regression or un-supervised autoassociation. |
| Uses of BasicML in org.encog.neural.rbf |
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| Subclasses of BasicML in org.encog.neural.rbf | |
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class |
RBFNetwork
RBF neural network. |
| Uses of BasicML in org.encog.neural.som |
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| Subclasses of BasicML in org.encog.neural.som | |
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class |
SOM
A self organizing map neural network. |
| Uses of BasicML in org.encog.neural.thermal |
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| Subclasses of BasicML in org.encog.neural.thermal | |
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class |
BoltzmannMachine
Implements a Boltzmann machine. |
class |
HopfieldNetwork
Implements a Hopfield network. |
class |
ThermalNetwork
The thermal network forms the base class for Hopfield and Boltzmann machines. |
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