Interface | Description |
---|---|
Node |
The node interface, which defines a node inside a neural network.
|
Class | Description |
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AbstractNode |
An abstract node class, used to represent a general node type.
|
BiasNode |
A bias node.
|
Connection |
A connection between two nodes..
|
ContextNode |
A context node.
|
InputNode |
An input node.
|
Nakayama |
This class performs the method of optimizing activation functions as described
in:
|
NetworkAsCFOProblem |
Describes the network as a oat CFOProblem.
|
NetworkLayer |
Wraps an existing joone network into a single layer.
|
NetworkViewer |
A class that can be used to display a GUI view of a network
|
NodeFactory |
A node factory.
|
NodesAndWeights |
This class takes a neural network and breaks it up into
classified nodes (ie input, output or hidden nodes) and
also in the process extracts the weight matrix wij with
i being the node fired into and j being the node fired
from.
|
PatternForwardedSynapse |
This class/synapse is only used to inform a Nakayama object whenever a single
patterns has been forwarded through the network.
|
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