Uses of Package
de.htwdd.rosenkoenig.neuro.net

Packages that use de.htwdd.rosenkoenig.neuro.net

de.htwdd.rosenkoenig.neuro	Contains all parts of Rosenkoenig that deal with neural networks.
de.htwdd.rosenkoenig.neuro.net	The package net contains implementations, examples and utilities to create and train neural networks.
de.htwdd.rosenkoenig.neuro.net.examples	This package contains a number of examples to demonstrate the use of the different neural network classes.
de.htwdd.rosenkoenig.neuro.net.training	This package contains classes to train neural networks.

Classes in de.htwdd.rosenkoenig.neuro.net used by de.htwdd.rosenkoenig.neuro

NeuralNet
This is the abstract class that every neuronal net is supposed to derive from.

Classes in de.htwdd.rosenkoenig.neuro.net used by de.htwdd.rosenkoenig.neuro.net

ActivationFunction
Interface for functions.

Identity
This is a dummy function that returns the same value for compute that was given to the function and 1.0 for computeDerivation.

InnerLayer
This class represents all hidden layers.

InputLayer
This class represents an input layer.

KohonenNet
KohonenNet is an implementation of a self organizing map.

Layer
This abstract class is the base class for the layers used in this project.

NeighbourhoodFunction
Base class to provide a KohonenNet with a neighbourhood function.

NeuralNet
This is the abstract class that every neuronal net is supposed to derive from.

Sigmoid
A sigmoid activation function.

Synapse
This class is used to interconnect layers of neurons.

Tanh
An activation function using tanh.

Classes in de.htwdd.rosenkoenig.neuro.net used by de.htwdd.rosenkoenig.neuro.net.examples

FeedForwardNet
This class implements a feed forward net.

KohonenNet
KohonenNet is an implementation of a self organizing map.

Classes in de.htwdd.rosenkoenig.neuro.net used by de.htwdd.rosenkoenig.neuro.net.training

FeedForwardNet
This class implements a feed forward net.

KohonenNet
KohonenNet is an implementation of a self organizing map.