Uses of Class
org.aika.network.neuron.Activation

Packages that use Activation

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 Activation in org.aika.corpus

Fields in org.aika.corpus with type parameters of type Activation

Modifier and Type	Field and Description
NavigableMap<Activation.Key,Activation>	Range.activations
NavigableMap<Activation.Key,Activation>	Option.activations
NavigableSet<Activation>	Option.activationsComplete
NavigableMap<Activation.Key,Activation>	Range.inputActivations

Methods in org.aika.corpus that return types with arguments of type Activation

Modifier and Type	Method and Description
Collection<Activation>	Option.getActivationsComplete()
Collection<Activation>	Range.getOverlappingInputActivations()

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

Modifier and Type	Method and Description
boolean	Document.isSelected(Activation act)

Uses of Activation in org.aika.network

Fields in org.aika.network with type parameters of type Activation

Modifier and Type	Field and Description
static Comparator<Activation>	Model.ACTIVATIONS_OUTPUT_COMPARATOR

Uses of Activation in org.aika.network.neuron

Fields in org.aika.network.neuron with type parameters of type Activation

Modifier and Type	Field and Description
NavigableMap<Activation.Key,Activation>	Node.activations
TreeSet<Activation>	Activation.directInputs
TreeSet<Activation>	Activation.directOutputs
TreeSet<Activation>	Activation.inputs
Set<Activation>	Activation.outputs
Map<Activation.Key,Activation>	Activation.shadowedBy
Map<Activation.Key,Activation>	Activation.shadows

Methods in org.aika.network.neuron that return Activation

Modifier and Type	Method and Description
Activation	Node.addActivationInternal(Iteration t, Activation.Key ak, Option initOption, Option newOption, Set<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
static Activation	Activation.get(Node n, Activation.Key ak)
static Activation	Activation.get(Node n, Integer rid, Range r, Range.Relation rr, Option o, Option.Relation or, Integer fired, Integer id, boolean includeShadowed)
static Activation	Activation.get(Node n, Range r, Option o)
Activation	Node.getFirstActivation()
Activation	Node.removeActivationInternal(Iteration t, Activation.Key ak)

Methods in org.aika.network.neuron that return types with arguments of type Activation

Modifier and Type	Method and Description
Collection<Activation>	Node.getActivations()
Collection<Activation>	Node.getSelectedActivations(Document doc)
static List<Activation>	Activation.select(Node n, Integer rid, Range r, Range.Relation rr, Option o, Option.Relation or, Option no, Integer fired, Integer id, boolean includeShadowed)

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

Modifier and Type	Method and Description
void	Input.addActivation(Iteration t, Activation inputAct, Range addedRange)
void	Activation.addShadows(Activation act)
int	Activation.compareTo(Activation act)
abstract double	Node.computeForwardWeight(Activation act)
abstract void	Node.deleteActivation(Iteration t, Activation act)
abstract double	Node.getNodeWeight(Activation act)
abstract void	Node.initActivation(Iteration t, Activation act)
abstract boolean	Node.isAllowedOption(Option n, Activation act, long v)
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	Node.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	Neuron.propagateRemovedActivation(Iteration t, Activation act, Range removedRange)
void	Input.removeActivation(Iteration t, Activation inputAct, Range removedRange)
static void	Node.removeActivationAndPropagate(Iteration t, boolean processFirst, Activation act, Range removedRange)
boolean	Activation.shadows(Activation act)

Method parameters in org.aika.network.neuron with type arguments of type Activation

Modifier and Type	Method and Description
static void	Node.addActivationAndPropagate(Iteration t, boolean processFirst, Activation.Key ak, Range addedRange, Option initOption, Set<Activation> inputActs, Set<Activation> directInputActs)
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)
Activation	Node.addActivationInternal(Iteration t, Activation.Key ak, Option initOption, Option newOption, Set<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
Activation	Node.addActivationInternal(Iteration t, Activation.Key ak, Option initOption, Option newOption, Set<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
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	Activation.link(Collection<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
void	Activation.link(Collection<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
void	Activation.link(Collection<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
void	Activation.link(Collection<Activation> inputActs, Set<Activation> directInputActs, Set<Activation> outputActs, Set<Activation> directOutputActs)
void	Node.processAddedActivations(Iteration t, org.aika.network.neuron.Node.ChangeKey ck, Set<Activation> inputActs, Set<Activation> directInputActs)
void	Node.processAddedActivations(Iteration t, org.aika.network.neuron.Node.ChangeKey ck, Set<Activation> inputActs, Set<Activation> directInputActs)

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

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

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)
double	TerminationNode.computeForwardWeight(Activation act)
double	OutputNode.computeForwardWeight(Activation act)
double	InputNode.computeForwardWeight(Activation act)
double	ClockTerminationNode.computeForwardWeight(Activation act)
double	ClockNode.computeForwardWeight(Activation act)
void	RecurrentNode.deleteActivation(Iteration t, Activation act)
void	InputNode.deleteActivation(Iteration t, Activation act)
double	TerminationNode.getNodeWeight(Activation act)
double	OutputNode.getNodeWeight(Activation act)
double	InputNode.getNodeWeight(Activation act)
double	ClockTerminationNode.getNodeWeight(Activation act)
double	ClockNode.getNodeWeight(Activation act)
void	RecurrentNode.initActivation(Iteration t, Activation act)
void	InputNode.initActivation(Iteration t, Activation act)
boolean	RecurrentNode.isAllowedOption(Option n, Activation act, long v)
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 Activation in org.aika.network.neuron.simple.lattice

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

Modifier and Type	Method and Description
void	OrNode.addActivation(Iteration t, Activation.Key ak, Range addedRange, Activation inputAct)
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)
double	PositiveInputNode.computeForwardWeight(Activation act)
double	OrNode.computeForwardWeight(Activation act)
double	NegativeInputNode.computeForwardWeight(Activation act)
double	AndNode.computeForwardWeight(Activation act)
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)
double	PositiveInputNode.getNodeWeight(Activation act)
double	OrNode.getNodeWeight(Activation act)
double	NegativeInputNode.getNodeWeight(Activation act)
double	AndNode.getNodeWeight(Activation act)
void	OrNode.initActivation(Iteration t, Activation act)
void	InputNode.initActivation(Iteration t, Activation act)
void	AndNode.initActivation(Iteration t, Activation act)
boolean	OrNode.isAllowedOption(Option n, Activation act, long v)
boolean	InputNode.isAllowedOption(Option n, Activation act, long v)
boolean	AndNode.isAllowedOption(Option n, Activation act, long v)
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	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)

Method parameters in org.aika.network.neuron.simple.lattice with type arguments of type Activation

Modifier and Type	Method and Description
void	AndNode.addActivation(Iteration t, Activation.Key ak, Range addedRange, Option initOption, Set<Activation> inputActs, Set<Activation> directInputActs)
void	AndNode.addActivation(Iteration t, Activation.Key ak, Range addedRange, Option initOption, Set<Activation> inputActs, Set<Activation> directInputActs)