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Packages that use ConnectedNode | |
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simbad.piconode.core.node |
Uses of ConnectedNode in simbad.piconode.core.node |
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Subclasses of ConnectedNode in simbad.piconode.core.node | |
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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
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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
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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 |
RecurrentNeuralNetwork
This class implements the basis for a recurrent neural network (no special ability). |
class |
RecurrentNeuron
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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. |
Methods in simbad.piconode.core.node that return ConnectedNode | |
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protected ConnectedNode |
RecurrentNeuralNetwork.getNodeAt(int __index)
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protected ConnectedNode |
NeuralNetwork.getNodeAt(int __index)
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protected ConnectedNode |
Network.getNodeAt(int __index)
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Methods in simbad.piconode.core.node with parameters of type ConnectedNode | |
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protected void |
NeuralNetwork.registerNode(ConnectedNode __neuron)
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protected void |
Network.registerNode(ConnectedNode __neuron)
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