Uses of Interface
simbad.piconode.XmlRepresentation

Packages that use XmlRepresentation
simbad.piconode.core.arc   
simbad.piconode.core.node   
simbad.piconode.visual   
 

Uses of XmlRepresentation in simbad.piconode.core.arc
 

Classes in simbad.piconode.core.arc that implement XmlRepresentation
 class Arc
           
 class ArcForBackPropLearning
           
 class ConstrainedArc
           
 class ModularArc
           
 class WeightedArc
           
 

Uses of XmlRepresentation in simbad.piconode.core.node
 

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

Uses of XmlRepresentation in simbad.piconode.visual
 

Methods in simbad.piconode.visual with parameters of type XmlRepresentation
static void NNPiconode.loadNetwork(XmlRepresentation network)
           
static int NNPiconode.showNetwork(XmlRepresentation network)
           
static int NNPiconode.showNetwork(XmlRepresentation network, java.lang.String filename, int step)
           
static int NNPiconode.showNetworkNoInterrupt(XmlRepresentation network)