Uses of Class
org.aika.Input

Packages that use Input

Package	Description
org.aika

Uses of Input in org.aika

Methods in org.aika that return Input

Modifier and Type	Method and Description
Input	Input.setAbsoluteRid(Integer absoluteRid) If the absolute relational id (rid) not null, then it is required to match the rid of input activation.
Input	Input.setEndRangeMapping(Range.Mapping endMapping) Using this method the range begin of the input activation might be mapped to the range end of the output activation.
Input	Input.setEndRangeMatch(Range.Operator rm) If set to true then the range end of this inputs activation needs to match.
Input	Input.setEndRangeOutput(boolean ro) Determines if this input is used to compute the range end of the output activation.
Input	Input.setMaxLowerWeightsSum(double maxLowerWeightsSum) MaxLowerWeightsSum is the expected sum of all weights smaller then the current weight.
Input	Input.setMinInput(double minInput) The minimum activation value that is required for this input.
Input	Input.setNeuron(Neuron neuron) Determines the input neuron.
Input	Input.setOptional(boolean optional) If optional is set to true, then this input is an optional part of a conjunction.
Input	Input.setRangeMatch(Input.RangeRelation rr) setRangeMatch is just a convenience function to call both setStartRangeMatch and setEndRangeMatch at the same time.
Input	Input.setRangeOutput(boolean ro) setRangeOutput is just a convenience function to call setStartRangeOutput and setEndRangeOutput at the same time.
Input	Input.setRecurrent(boolean recurrent) The property recurrent specifies if input is a recurrent feedback link.
Input	Input.setRelativeRid(Integer relativeRid) The relative relational id (rid) determines the relative position of this inputs rid with respect to other inputs of this neuron.
Input	Input.setStartRangeMapping(Range.Mapping startMapping) Using this method the range end of the input activation might be mapped to the range begin of the output activation.
Input	Input.setStartRangeMatch(Range.Operator rm) If set to true then the range begin of this inputs activation needs to match.
Input	Input.setStartRangeOutput(boolean ro) Determines if this input is used to compute the range start of the output activation.
Input	Input.setWeight(Double weight) The synapse weight of this input.

Methods in org.aika with parameters of type Input

Modifier and Type	Method and Description
int	Input.compareTo(Input in)
Neuron	Model.createAndNeuron(Neuron n, double threshold, Input... inputs) Creates a neuron representing a conjunction of its inputs.
Neuron	Model.createNeuron(Neuron n, double bias, Input... inputs) Creates a neuron with the given bias.
Neuron	Model.createOrNeuron(Neuron n, Input... inputs) Creates a neuron representing a disjunction of its inputs.

Method parameters in org.aika with type arguments of type Input

Modifier and Type	Method and Description
Neuron	Model.createAndNeuron(Neuron n, double threshold, Collection<Input> inputs) Creates a neuron representing a conjunction of its inputs.
Neuron	Model.createNeuron(Neuron n, double bias, Collection<Input> inputs) Creates a neuron with the given bias.
Neuron	Model.createOrNeuron(Neuron n, Set<Input> inputs) Creates a neuron representing a disjunction of its inputs.