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.