Uses of Class
org.aika.network.Iteration

Packages that use Iteration

Package	Description
org.aika.corpus
org.aika.network
org.aika.network.neuron
org.aika.network.neuron.recurrent
org.aika.network.neuron.simple.lattice

Uses of Iteration in org.aika.corpus

Methods in org.aika.corpus with parameters of type Iteration

Modifier and Type	Method and Description
static void	Conflicts.add(Iteration t, Node n, Option primary, Option secondary)
Option	Option.clonePrimitive(Iteration t)
static void	Conflicts.copy(Iteration t, Option from, Option to)
static void	Conflicts.remove(Iteration t, NegativeInputNode nn, Option primary, Option secondary)
void	Option.removePrimitive(Iteration t)

Uses of Iteration in org.aika.network

Methods in org.aika.network that return Iteration

Modifier and Type	Method and Description
Iteration	Model.startIteration(Document doc)

Uses of Iteration in org.aika.network.neuron

Methods in org.aika.network.neuron with parameters of type Iteration

Modifier and Type	Method and Description
void	Input.addActivation(Iteration t, Activation inputAct, Range addedRange)
static void	Node.addActivationAndPropagate(Iteration t, boolean processFirst, Activation.Key ak, Range addedRange, Option initOption, Set<Activation> inputActs, Set<Activation> directInputActs)
Activation	Node.addActivationInternal(Iteration t, Activation.Key ak, Option initOption, Option newOption, Set<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
void	Neuron.addInputActivation(Iteration t, int begin, int end)
void	Neuron.addInputActivation(Iteration t, int begin, int end, Option o)
abstract void	Node.deleteActivation(Iteration t, Activation act)
abstract void	Node.initActivation(Iteration t, Activation act)
void	Node.processAddedActivations(Iteration t, org.aika.network.neuron.Node.ChangeKey ck, Set<Activation> inputActs, Set<Activation> directInputActs)
void	Node.Queue.processChanges(Iteration t)
void	Node.processRemovedActivations(Iteration t, Activation act, Range removedRange)
void	Neuron.propagateAddedActivation(Iteration t, Activation act, Range addedRange)
void	Node.propagateAddedActivation(Iteration t, Activation act, Range addedRange, Option conflict)
void	Neuron.propagateInputFrequencyChange(Iteration t)
void	Node.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	Neuron.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	Activation.register(Iteration t)
void	Input.removeActivation(Iteration t, Activation inputAct, Range removedRange)
static void	Node.removeActivationAndPropagate(Iteration t, boolean processFirst, Activation act, Range removedRange)
Activation	Node.removeActivationInternal(Iteration t, Activation.Key ak)
void	Neuron.removeInputActivation(Iteration t, int begin, int end)
void	Neuron.removeInputActivation(Iteration t, int begin, int end, Option o)
void	Activation.unregister(Iteration t)

Uses of Iteration in org.aika.network.neuron.recurrent

Methods in org.aika.network.neuron.recurrent with parameters of type Iteration

Modifier and Type	Method and Description
void	RecurrentNode.addActivation(Iteration t, Activation inputAct, Range addedRange)
void	OutputNode.addActivation(Iteration t, Activation inputAct, Range addedRange)
void	ClockTerminationNode.addActivation(Iteration t, Activation inputAct, Range addedRange)
static void	ClockTerminationNode.addInitialActivations(Iteration t)
void	RecurrentNode.deleteActivation(Iteration t, Activation act)
void	InputNode.deleteActivation(Iteration t, Activation act)
void	RecurrentNode.initActivation(Iteration t, Activation act)
void	InputNode.initActivation(Iteration t, Activation act)
void	RecurrentNode.propagateAddedActivation(Iteration t, Activation act, Range addedRange, Option conflict)
void	OutputNode.propagateAddedActivation(Iteration t, Activation act, Range addedRange, Option conflict)
void	ClockTerminationNode.propagateAddedActivation(Iteration t, Activation act, Range addedRange, Option conflict)
void	RecurrentNode.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	OutputNode.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	ClockTerminationNode.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	RecurrentNode.removeActivation(Iteration t, Activation inputAct, Range removedRange)
void	OutputNode.removeActivation(Iteration t, Activation inputAct, Range removedRange)
void	ClockTerminationNode.removeActivation(Iteration t, Activation inputAct, Range removedRange)

Uses of Iteration in org.aika.network.neuron.simple.lattice

Methods in org.aika.network.neuron.simple.lattice with parameters of type Iteration

Modifier and Type	Method and Description
void	OrNode.addActivation(Iteration t, Activation.Key ak, Range addedRange, Activation inputAct)
void	AndNode.addActivation(Iteration t, Activation.Key ak, Range addedRange, Option initOption, Set<Activation> inputActs, Set<Activation> directInputActs)
void	InputNode.addActivation(Iteration t, Activation inputAct, Range addedRange)
static void	AndNode.addActivationsToNextLevelPattern(Iteration t, LatticeNode firstNode, Node secondNode, AndNode.Refinement refinement, Activation act, Range addedRange, Option conflict)
static void	AndNode.createNextLevelPattern(Iteration t, LatticeNode firstNode, AndNode.Refinement refinement)
void	OrNode.deleteActivation(Iteration t, Activation act)
void	InputNode.deleteActivation(Iteration t, Activation act)
void	AndNode.deleteActivation(Iteration t, Activation act)
void	OrNode.expandToNextLevel(Iteration t, Activation act, Range addedRange, Option conflict, boolean train)
abstract void	LatticeNode.expandToNextLevel(Iteration t, Activation act, Range addedRange, Option conflict, boolean train)
void	InputNode.expandToNextLevel(Iteration t, Activation act, Range addedRange, Option removedConflict, boolean train)
void	AndNode.expandToNextLevel(Iteration t, Activation act, Range addedRange, Option conflict, boolean train)
void	OrNode.initActivation(Iteration t, Activation act)
void	InputNode.initActivation(Iteration t, Activation act)
void	AndNode.initActivation(Iteration t, Activation act)
static void	OrNode.processCandidate(Iteration t, LatticeNode parentNode, Activation act, Range addedRange, Option conflict, boolean train)
static void	AndNode.processCandidate(Iteration t, LatticeNode firstNode, Node secondNode, AndNode.Refinement refinement, Activation act, Range addedRange, Option conflict, boolean train)
void	NegativeInputNode.propagateAddedActivation(Iteration t, Activation act, Range addedRange, Option conflict)
void	LatticeNode.propagateAddedActivation(Iteration t, Activation act, Range addedRange, Option conflict)
void	NegativeInputNode.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	LatticeNode.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
protected void	AndNode.removeActivation(Iteration t, Activation.Key ak, Range removedRange)
protected void	OrNode.removeActivation(Iteration t, Activation act, Range removedRange)
void	InputNode.removeActivation(Iteration t, Activation inputAct, Range removedRange)
void	LatticeNode.removeFromNextLevel(Iteration t, Activation iAct, Range removedRange)
void	LatticeNode.train(Iteration t)