Uses of Package
simbad.piconode.core.node

Packages that use simbad.piconode.core.node
simbad.holodeck   
simbad.picoevo.ext.representation   
simbad.piconode.core.arc   
simbad.piconode.core.node   
simbad.piconode.toolbox   
 

Classes in simbad.piconode.core.node used by simbad.holodeck
RecurrentNeuralNetwork
          This class implements the basis for a recurrent neural network (no special ability).
 

Classes in simbad.piconode.core.node used by simbad.picoevo.ext.representation
RecurrentNeuralNetwork
          This class implements the basis for a recurrent neural network (no special ability).
 

Classes in simbad.piconode.core.node used by simbad.piconode.core.arc
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.
 

Classes in simbad.piconode.core.node used by simbad.piconode.core.node
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.
SOMoutputNeuron
          !n : [major optimisation issue] this class may be suppressed and re-implemented as arrays in the SelfOrganizingMap class
 

Classes in simbad.piconode.core.node used by simbad.piconode.toolbox
FeedForwardNeuralNetworkForBackPropLearning
          This class implement a feed-forward neural network with learning capabilitie through back-propagation.