Package org.jscience.computing.ai.neurocomputing

Neural network example classes including Kohonen, Perceptron and Feedforward networks.

See:
Description

Interface Summary

Activation	The interface for the neural network activation function.
Notifier	The neural network notifier interface.

Class Summary

Activation.None	No activation function.
Activation.Sigmoid	Sigmoid activation function.
Activation.Stepped	A stepped activation function.
Activation.Tanh	Hyperbolic tangent activation function.
EvoFeedForwardNN	This class implements an evolutionary feedforward network.
FeedForwardNN	A simple implementation of a feedforward network.
FFNHiddenLayer	This class implements a hidden layer for a feedforward network.
FFNInputLayer	This class implements the input layer for the feedforward network.
FFNLayer	An abstract class for the feedforward layers.
FFNOutputLayer	This class implements the output layer for the feedforward network.
KohonenNN	This class provides a simple implementation of a two-dimensional Kohonen self- organizing map.
KohonenTrainer	This class implements the Kohonen training algorithm.
NeuralNetwork	A neural network framework class.
NeuralNetworkTrainer	This class is intended to provide a common interface for the more complicated neural network training algorithms, such as a multi-stage Kohonen training algorithm.
PerceptronNN	An implementation of a perceptron.

Exception Summary

NeuralNetworkException

A simple class for neural network exceptions.

Package org.jscience.computing.ai.neurocomputing Description

Neural network example classes including Kohonen, Perceptron and Feedforward networks.