| Package | Description |
|---|---|
| network.aika | |
| network.aika.lattice | |
| network.aika.neuron | |
| network.aika.neuron.activation | |
| network.aika.training |
| Class and Description |
|---|
| Node
The
Node class is the abstract class for all the boolean logic nodes underneath the neural network layer. |
| NodeActivation |
| Class and Description |
|---|
| AndNode
The
InputNode and the AndNode classes together form a pattern lattice, containing all
possible substructures of any given conjunction. |
| AndNode.AndActivation |
| 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
The
Node class is the abstract class for all the boolean logic nodes underneath the neural network layer. |
| Node.ThreadState
The
ThreadState is a thread local data structure containing the activations of a single document for
a specific logic node. |
| NodeActivation |
| 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 |
| Class and Description |
|---|
| InputNode
The
InputNode class is the input layer for the boolean logic. |
| 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.
|
| Class and Description |
|---|
| NodeActivation |
| 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 |
| Class and Description |
|---|
| AndNode
The
InputNode and the AndNode classes together form a pattern lattice, containing all
possible substructures of any given conjunction. |
| NodeActivation |
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