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

Packages that use Activation

Package	Description
org.aika
org.aika.lattice
org.aika.neuron
org.aika.neuron.activation
org.aika.training

Uses of Activation in org.aika

Fields in org.aika with type parameters of type Activation

Modifier and Type	Field and Description
TreeMap<NodeActivation.Key,Activation>	Document.activationsByRangeBegin
TreeMap<NodeActivation.Key,Activation>	Document.activationsByRangeEnd
TreeMap<NodeActivation.Key,Activation>	Document.activationsByRid
ArrayList<Activation>	Document.addedActivations
TreeSet<Activation>	Document.inputNeuronActivations
ArrayDeque<Activation>	Document.UpperBoundQueue.queue
ArrayList<TreeSet<Activation>>	Document.ValueQueue.queue

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

Modifier and Type	Method and Description
Stream<Activation>	Document.getActivations()
Stream<Activation>	Document.getFinalActivations()

Methods in org.aika with parameters of type Activation

Modifier and Type	Method and Description
void	Document.UpperBoundQueue.add(Activation act)
void	Document.ValueQueue.add(int round, Activation act)
void	Document.ValueQueue.propagateActivationValue(int round, Activation act)

Uses of Activation in org.aika.lattice

Methods in org.aika.lattice that return Activation

Modifier and Type	Method and Description
Activation	OrNode.createActivation(Document doc, NodeActivation.Key ak)
Activation	OrNode.lookupOrOption(Document doc, Range r, boolean create)

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

Modifier and Type	Method and Description
void	InputNode.addActivation(Document doc, Activation inputAct)
void	OrNode.apply(Activation act)
void	OrNode.propagate(Activation act)

Uses of Activation in org.aika.neuron

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

Modifier and Type	Field and Description
TreeMap<NodeActivation.Key,Activation>	INeuron.ThreadState.activations
TreeMap<NodeActivation.Key,Activation>	INeuron.ThreadState.activationsEnd
TreeMap<NodeActivation.Key,Activation>	INeuron.ThreadState.activationsRid

Methods in org.aika.neuron that return Activation

Modifier and Type	Method and Description
Activation	Neuron.addInput(Document doc, Activation.Builder inputAct) Propagate an input activation into the network.
Activation	INeuron.addInput(Document doc, Activation.Builder input) Propagate an input activation into the network.
Activation	Neuron.addInput(Document doc, int begin, int end) Propagate an input activation into the network.
Activation	Neuron.addInput(Document doc, int begin, int end, Integer relationalId) Propagate an input activation into the network.
Activation	INeuron.getFirstActivation(Document doc)

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

Modifier and Type	Method and Description
Collection<Activation>	INeuron.getActivations(Document doc)
Collection<Activation>	Neuron.getFinalActivations(Document doc) getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.
Collection<Activation>	INeuron.getFinalActivations(Document doc)
Stream<Activation>	INeuron.getFinalActivationsStream(Document doc) getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.

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

Modifier and Type	Method and Description
void	INeuron.propagate(Activation act)
void	INeuron.register(Activation act)

Uses of Activation in org.aika.neuron.activation

Fields in org.aika.neuron.activation declared as Activation

Modifier and Type	Field and Description
Activation	Candidate.activation
Activation	Activation.SynapseActivation.input
Activation	Activation.SynapseActivation.output

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

Modifier and Type	Field and Description
static Comparator<Activation>	Activation.ACTIVATION_ID_COMP
Map<Activation,Activation.StateChange>	SearchNode.modifiedActs
SortedSet<Activation>	Conflicts.primary
Set<Activation>	Conflicts.secondary

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

Modifier and Type	Method and Description
static Activation	Selector.get(Document doc, INeuron n, Integer rid, Range r, Range.Relation rr)
static Activation	Selector.get(Document doc, INeuron n, NodeActivation.Key ak)
Activation	Activation.StateChange.getActivation()

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

Modifier and Type	Method and Description
static Collection<Activation>	Selector.getActivationsByRange(INeuron.ThreadState th, INeuron n, Range r, Range.Relation rr)
static Collection<Activation>	Selector.getActivationsByRangeEquals(INeuron.ThreadState th, INeuron n, Range r, Range.Relation rr)
static Collection<Activation>	Conflicts.getConflicting(Activation n)
static Stream<Activation>	Selector.select(Document doc, INeuron n, Integer rid, Range r, Range.Relation rr)
static Stream<Activation>	Selector.select(INeuron.ThreadState th, INeuron n, Integer rid, Range r, Range.Relation rr)
static Collection<Activation>	Selector.select(Linker.SortGroup sortGroup, Activation act)

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

Modifier and Type	Method and Description
static void	Conflicts.add(Activation primary, Activation secondary)
static boolean	Activation.checkSelfReferencing(Activation nx, Activation ny, boolean onlySelected, int depth)
static Collection<Activation>	Conflicts.getConflicting(Activation n)
static void	SearchNode.invalidateCachedDecision(Activation n)
static boolean	Conflicts.isConflicting(Activation a, Activation b)
static void	Linker.link(Activation act) Adds the incoming and outgoing links between neuron activations.
static void	Conflicts.linkConflicts(Activation act, long v, Linker.Direction dir)
static Collection<Activation>	Selector.select(Linker.SortGroup sortGroup, Activation act)

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

Modifier and Type	Method and Description
void	Activation.saveOldState(Map<Activation,Activation.StateChange> changes, long v)

Constructors in org.aika.neuron.activation with parameters of type Activation

Constructor and Description
Candidate(Activation act, int id)
SynapseActivation(Synapse s, Activation input, Activation output)

Uses of Activation in org.aika.training

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

Modifier and Type	Field and Description
TreeSet<Activation>	SupervisedTraining.errorSignalActivations
TreeSet<Activation>	SupervisedTraining.BackPropagationQueue.queue
TreeSet<Activation>	SupervisedTraining.targetActivations

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

Modifier and Type	Method and Description
void	SupervisedTraining.BackPropagationQueue.add(Activation act)
void	SupervisedTraining.computeBackpropagationErrorSignal(Activation act)
void	SupervisedTraining.computeOutputErrorSignal(Activation act)
SynapseEvaluation.Result	SynapseEvaluation.evaluate(Synapse s, Activation iAct, Activation oAct) Determines whether a synapse should be created between two neurons during training.
static void	LongTermLearning.longTermDepression(Document doc, LongTermLearning.Config config, Activation act, boolean dir) The long-term depression algorithm decreases the strength of a synapse if only one side of the synapse is firing.
static void	LongTermLearning.longTermPotentiation(Document doc, LongTermLearning.Config config, Activation act) The long-term potentiation algorithm is a variant of the Hebb learning rule.
void	SupervisedTraining.train(INeuron n, Activation targetAct, double learnRate, SynapseEvaluation se)
void	SupervisedTraining.updateErrorSignal(Activation act)