Uses of Interface
org.encog.ml.MLProperties

Packages that use MLProperties

org.encog.ml
org.encog.ml.bayesian
org.encog.ml.hmm
org.encog.ml.svm
org.encog.neural.art
org.encog.neural.bam
org.encog.neural.cpn
org.encog.neural.neat
org.encog.neural.networks
org.encog.neural.pnn
org.encog.neural.rbf
org.encog.neural.som
org.encog.neural.thermal

Uses of MLProperties in org.encog.ml

Classes in org.encog.ml that implement MLProperties

class

BasicML A class that provides basic property functionality for the MLProperties interface.

Uses of MLProperties in org.encog.ml.bayesian

Classes in org.encog.ml.bayesian that implement MLProperties

class

BayesianNetwork The Bayesian Network is a machine learning method that is based on probability, and particularly Bayes' Rule.

Uses of MLProperties in org.encog.ml.hmm

Classes in org.encog.ml.hmm that implement MLProperties

class

HiddenMarkovModel A Hidden Markov Model (HMM) is a Machine Learning Method that allows for predictions to be made about the hidden states and observations of a given system over time.

Uses of MLProperties in org.encog.ml.svm

Classes in org.encog.ml.svm that implement MLProperties

class

SVM This is a network that is backed by one or more Support Vector Machines (SVM).

Uses of MLProperties in org.encog.neural.art

Classes in org.encog.neural.art that implement MLProperties

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 MLProperties in org.encog.neural.bam

Classes in org.encog.neural.bam that implement MLProperties

class

BAM Bidirectional associative memory (BAM) is a type of neural network developed by Bart Kosko in 1988.

Uses of MLProperties in org.encog.neural.cpn

Classes in org.encog.neural.cpn that implement MLProperties

class

CPN Counterpropagation Neural Networks (CPN) were developed by Professor Robert Hecht-Nielsen in 1987.

Uses of MLProperties in org.encog.neural.neat

Classes in org.encog.neural.neat that implement MLProperties

class

NEATNetwork Implements a NEAT network as a synapse between two layers.

Uses of MLProperties in org.encog.neural.networks

Classes in org.encog.neural.networks that implement MLProperties

class

BasicNetwork This class implements a neural network.

Uses of MLProperties in org.encog.neural.pnn

Classes in org.encog.neural.pnn that implement MLProperties

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 MLProperties in org.encog.neural.rbf

Classes in org.encog.neural.rbf that implement MLProperties

class

RBFNetwork RBF neural network.

Uses of MLProperties in org.encog.neural.som

Classes in org.encog.neural.som that implement MLProperties

class

SOM A self organizing map neural network.

Uses of MLProperties in org.encog.neural.thermal

Classes in org.encog.neural.thermal that implement MLProperties

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.