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Packages that use simbad.piconode.core.node | |
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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 | |
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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 | |
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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 | |
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NeuronalNode
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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. |
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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 | |
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ConnectedNode
The abstract ConnectedNode class contains the basis for defining a node that is part of a Network module. |
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FeedForwardNeuralNetwork
This class implement a simple feed-forward neural network (no special properties) |
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FeedForwardNeuralNetworkForBackPropLearning
This class implement a feed-forward neural network with learning capabilitie through back-propagation. |
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ModularNode
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Module
The abstract Module class provides the minimal setting to define modular node, i.e. |
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Network
The Network class provides the minimal basis to define a network module. |
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NeuralNetwork
The NeuralNetwork class provides the minimal basis to define a neural network module. |
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Neuron
The neuron class contains every thing needed to embed a functional neuron into a NeuralNetwork module. |
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NeuronalNode
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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. |
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Node
General Node class from which is derived every elements from atomic node (e.g. |
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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 | |
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FeedForwardNeuralNetworkForBackPropLearning
This class implement a feed-forward neural network with learning capabilitie through back-propagation. |
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