Package simbad.piconode.core.node

Class Summary
ConnectedNode The abstract ConnectedNode class contains the basis for defining a node that is part of a Network module.
FeedForwardNeuralNetwork This class implement a simple feed-forward neural network (no special properties)
FeedForwardNeuralNetworkForBackPropLearning This class implement a feed-forward neural network with learning capabilitie through back-propagation.
ModularNode  
Module The abstract Module class provides the minimal setting to define modular node, i.e.
Network The Network class provides the minimal basis to define a network module.
NeuralNetwork The NeuralNetwork class provides the minimal basis to define a neural network module.
Neuron The neuron class contains every thing needed to embed a functional neuron into a NeuralNetwork module.
NeuronalNode  
NeuronForBackPropLearning The NeuronForBackPropLearning class extends a Neuron with methods that makes it possible to embed such neurons into NeuralNetworks with Back-propagation learning ability (e.g.
Node General Node class from which is derived every elements from atomic node (e.g.
RecurrentNeuralNetwork This class implements the basis for a recurrent neural network (no special ability).
RecurrentNeuron  
SelfOrganizingMap This class implement a simple 2D "Kohonen" Self Organizing Map.
SOMoutputNeuron !n : [major optimisation issue] this class may be suppressed and re-implemented as arrays in the SelfOrganizingMap class
ValueContainer a ValueContainer object contains a simple double value and may be linked from and to other objects.