Uses of Class
org.aika.network.neuron.simple.lattice.LatticeNode

Packages that use LatticeNode

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

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

Subclasses of LatticeNode in org.aika.network.neuron.simple.lattice

Modifier and Type	Class and Description
class	AndNode
class	InputNode
class	LogicNode
class	NegativeInputNode
class	OrNode
class	PositiveInputNode

Fields in org.aika.network.neuron.simple.lattice with type parameters of type LatticeNode

Modifier and Type	Field and Description
Map<LatticeNode,Double>	OrNode.parents
SortedMap<AndNode.Refinement,LatticeNode>	AndNode.parents

Methods in org.aika.network.neuron.simple.lattice that return types with arguments of type LatticeNode

Modifier and Type	Method and Description
static SortedMap<AndNode.Refinement,LatticeNode>	AndNode.computeParents(Set<AndNode.Refinement> refinements)

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

Modifier and Type	Method and Description
static void	AndNode.addActivationsToNextLevelPattern(Iteration t, LatticeNode firstNode, Node secondNode, AndNode.Refinement refinement, Activation act, Range addedRange, Option conflict)
void	OrNode.addInput(LatticeNode inputNode)
static void	AndNode.createNextLevelPattern(Iteration t, LatticeNode firstNode, AndNode.Refinement refinement)
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	OrNode.setWeight(LatticeNode inputNode, double weight)

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

Modifier and Type	Method and Description
void	LatticeNode.collectPublicNodes(List<LatticeNode> results, long v)
boolean	LatticeNode.computeAndParents(int offset, SortedSet<AndNode.Refinement> inputs, Map<AndNode.Refinement,LatticeNode> parents, Set<LatticeNode.RSKey> visited)
static Map<LatticeNode.RSKey,Set<Synapse>>	LatticeNode.computePredefinedAndNodes(Neuron n, Set<LatticeNode> outputs, Map<LatticeNode.RSKey,Set<Synapse>> previousLevel)
static Map<LatticeNode.RSKey,Set<Synapse>>	LatticeNode.computePredefinedInputNodes(Neuron n, Set<LatticeNode> outputs, Set<Synapse> inputs)
static Map<LatticeNode.RSKey,Set<Synapse>>	LatticeNode.computePredefinedSecondLevelAndNodes(Neuron n, Set<LatticeNode> outputs, Map<LatticeNode.RSKey,Set<Synapse>> previousLevel)

Constructors in org.aika.network.neuron.simple.lattice with parameters of type LatticeNode

Constructor and Description
RSKey(LatticeNode pa, int offset)

Constructor parameters in org.aika.network.neuron.simple.lattice with type arguments of type LatticeNode

Constructor and Description
AndNode(Model m, int level, SortedMap<AndNode.Refinement,LatticeNode> parents, boolean inferenceMode)