- s - Variable in class org.aika.Activation.SynapseActivation
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- saveNewState(Activation) - Static method in class org.aika.corpus.SearchNode.StateChange
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- saveOldState(List<SearchNode.StateChange>, Activation, long) - Static method in class org.aika.corpus.SearchNode.StateChange
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- SearchNode - Class in org.aika.corpus
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The SearchNode class represents a node in the binary search tree that is used to find the optimal
interpretation for a given document.
- SearchNode(SearchNode) - Constructor for class org.aika.corpus.SearchNode
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- SearchNode.RefMarker - Class in org.aika.corpus
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- SearchNode.StateChange - Class in org.aika.corpus
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- SearchNode.StateChange.Mode - Enum in org.aika.corpus
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- searchNodeIdCounter - Variable in class org.aika.corpus.Document
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- secondary - Variable in class org.aika.corpus.Conflicts.Conflict
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- secondary - Variable in class org.aika.corpus.Conflicts
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- select(Document, Node, Integer, Range, Range.Operator, Range.Operator, InterprNode, InterprNode.Relation) - Static method in class org.aika.Activation
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- selectedInterpretationToString() - Method in class org.aika.corpus.Document
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- selectedInterprNode - Variable in class org.aika.corpus.Document
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- selectedMark - Variable in class org.aika.corpus.Document
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- selectedSearchNode - Variable in class org.aika.corpus.Document
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- set(int, Activation.State) - Method in class org.aika.Activation.Rounds
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- setAbsoluteRid(Integer) - Method in class org.aika.Input
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If the absolute relational id (rid) not null, then it is required to match the rid of input activation.
- setEndRangeMapping(Range.Mapping) - Method in class org.aika.Input
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Using this method the range begin of the input activation might be mapped to the range end of the
output activation.
- setEndRangeMatch(Range.Operator) - Method in class org.aika.Input
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If set to true then the range end of this inputs activation needs to match.
- setEndRangeOutput(boolean) - Method in class org.aika.Input
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Determines if this input is used to compute the range end of the output activation.
- setMaxLowerWeightsSum(double) - Method in class org.aika.Input
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MaxLowerWeightsSum is the expected sum of all weights smaller then the current weight.
- setMinInput(double) - Method in class org.aika.Input
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The minimum activation value that is required for this input.
- setNeuron(Neuron) - Method in class org.aika.Input
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Determines the input neuron.
- setOptional(boolean) - Method in class org.aika.Input
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If optional is set to true, then this input is an optional part of a conjunction.
- setRangeMatch(Input.RangeRelation) - Method in class org.aika.Input
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setRangeMatch is just a convenience function to call both setStartRangeMatch and setEndRangeMatch at the same time.
- setRangeOutput(boolean) - Method in class org.aika.Input
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setRangeOutput is just a convenience function to call setStartRangeOutput and setEndRangeOutput at the same time.
- setRecurrent(boolean) - Method in class org.aika.Input
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The property recurrent specifies if input is a recurrent feedback link.
- setRelativeRid(Integer) - Method in class org.aika.Input
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The relative relational id (rid) determines the relative position of this inputs rid with respect to
other inputs of this neuron.
- setStartRangeMapping(Range.Mapping) - Method in class org.aika.Input
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Using this method the range end of the input activation might be mapped to the range begin of the
output activation.
- setStartRangeMatch(Range.Operator) - Method in class org.aika.Input
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If set to true then the range begin of this inputs activation needs to match.
- setStartRangeOutput(boolean) - Method in class org.aika.Input
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Determines if this input is used to compute the range start of the output activation.
- setSynapse(Document, InputNode.SynapseKey, Synapse) - Method in class org.aika.lattice.InputNode
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- setWeight(Double) - Method in class org.aika.Input
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The synapse weight of this input.
- sigmoid(double) - Static method in class org.aika.neuron.Neuron
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- SIGNIFICANCE_THRESHOLD - Static variable in class org.aika.lattice.AndNode
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- Similarity() - Constructor for class org.aika.lattice.Node.Similarity
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- sizeSum - Variable in class org.aika.lattice.Node
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- startMapping - Variable in class org.aika.Input
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- startRangeMapping - Variable in class org.aika.neuron.Synapse.Key
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- startRangeMatch - Variable in class org.aika.Input
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- startRangeMatch - Variable in class org.aika.neuron.Synapse.Key
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- startRangeOutput - Variable in class org.aika.Input
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- startRangeOutput - Variable in class org.aika.neuron.Synapse.Key
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- stat - Variable in class org.aika.Model
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- State(double, int, Neuron.NormWeight) - Constructor for class org.aika.Activation.State
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- StateChange() - Constructor for class org.aika.corpus.SearchNode.StateChange
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- Statistic() - Constructor for class org.aika.Model.Statistic
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- storeFinalWeight(long) - Method in class org.aika.corpus.InterprNode
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- sub(Neuron.NormWeight) - Method in class org.aika.neuron.Neuron.NormWeight
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- Synapse - Class in org.aika.neuron
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The Synapse class connects two neurons with each other.
- Synapse() - Constructor for class org.aika.neuron.Synapse
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- Synapse(Neuron) - Constructor for class org.aika.neuron.Synapse
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- Synapse(Neuron, Synapse.Key) - Constructor for class org.aika.neuron.Synapse
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- Synapse.Key - Class in org.aika.neuron
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- SynapseActivation(Synapse, Activation, Activation) - Constructor for class org.aika.Activation.SynapseActivation
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- SynapseKey(Integer, Neuron) - Constructor for class org.aika.lattice.InputNode.SynapseKey
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- synapses - Variable in class org.aika.lattice.InputNode
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- synapses - Variable in class org.aika.Model.Statistic
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