| Package | Description |
|---|---|
| network.aika | |
| network.aika.lattice | |
| network.aika.neuron | |
| network.aika.neuron.activation | |
| network.aika.neuron.relation |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractNode<P extends Provider<? extends AbstractNode>,A extends NodeActivation> |
| Modifier and Type | Method and Description |
|---|---|
Writable |
Model.WritableFactory.createObject() |
| Modifier and Type | Class and Description |
|---|---|
class |
AndNode
The
InputNode and the AndNode classes together form a pattern lattice, containing all
possible substructures of any given conjunction. |
static class |
AndNode.Refinement |
static class |
AndNode.RefValue |
static class |
AndNode.RelationsMap |
class |
InputNode
The
InputNode class is the input layer for the boolean logic. |
class |
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. |
class |
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.
|
static class |
OrNode.OrEntry |
| Modifier and Type | Field and Description |
|---|---|
Writable |
Node.statistic |
| Modifier and Type | Class and Description |
|---|---|
class |
INeuron
The
INeuron class represents a internal neuron implementation in Aikas neural network and is connected to other neurons through
input synapses and output synapses. |
class |
Synapse
The
Synapse class connects two neurons with each other. |
static class |
Synapse.Key |
| Modifier and Type | Field and Description |
|---|---|
Writable |
Synapse.statistic |
Writable |
INeuron.statistic |
| Modifier and Type | Class and Description |
|---|---|
static class |
Range.Output |
static class |
Range.Relation |
| Modifier and Type | Class and Description |
|---|---|
class |
InstanceRelation |
class |
RangeRelation |
class |
Relation |
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