| Class | Description |
|---|---|
| AndNode |
The
InputNode and the AndNode classes together form a pattern lattice, containing all
possible substructures of any given conjunction. |
| AndNode.AndActivation | |
| AndNode.Entry | |
| AndNode.Link | |
| AndNode.Refinement | |
| AndNode.RefValue | |
| AndNode.RelationsMap | |
| InputNode |
The
InputNode class is the input layer for the boolean logic. |
| InputNode.InputActivation | |
| InputNode.Link | |
| Node<T extends Node,A extends NodeActivation<T>> |
The
Node class is the abstract class for all the boolean logic nodes underneath the neural network layer. |
| Node.ThreadState<T extends Node,A extends NodeActivation> |
The
ThreadState is a thread local data structure containing the activations of a single document for
a specific logic node. |
| NodeActivation<T extends Node> | |
| OrNode |
While several neurons might share a the same input-node or and-node, there is always a always a one-to-one relation
between or-nodes and neurons.
|
| OrNode.Link | |
| OrNode.OrActivation | |
| OrNode.OrEntry |
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