Uses of Class
network.aika.neuron.Synapse.Builder

Packages that use Synapse.Builder

Package	Description
network.aika.neuron

Uses of Synapse.Builder in network.aika.neuron

Methods in network.aika.neuron that return Synapse.Builder

Modifier and Type	Method and Description
Synapse.Builder	Synapse.Builder.addInstanceRelation(InstanceRelation.Type type, int synapseId)
Synapse.Builder	Synapse.Builder.addRangeRelation(Range.Relation relation, int synapseId)
Synapse.Builder	Synapse.Builder.addRelations(Map<Integer,Relation> relations)
Synapse.Builder	Synapse.Builder.setBias(double bias) The bias of this input that will later on be added to the neurons bias.
Synapse.Builder	Synapse.Builder.setDistanceFunction(DistanceFunction distFunc)
Synapse.Builder	Synapse.Builder.setIdentity(boolean identity)
Synapse.Builder	Synapse.Builder.setNeuron(Neuron neuron) Determines the input neuron.
Synapse.Builder	Synapse.Builder.setRangeInput(int synapseId) By default the output range of th synapses input neuron is used.
Synapse.Builder	Synapse.Builder.setRangeOutput(boolean ro) setRangeOutput is just a convenience function to call setBeginRangeOutput and setEndRangeOutput at the same time.
Synapse.Builder	Synapse.Builder.setRangeOutput(boolean begin, boolean end) setRangeOutput is just a convenience function to call setBeginRangeOutput and setEndRangeOutput at the same time.
Synapse.Builder	Synapse.Builder.setRangeOutput(Range.Mapping begin, Range.Mapping end) Determines if this input is used to compute the range start of the output activation.
Synapse.Builder	Synapse.Builder.setRangeOutput(Range.Output rangeOutput) setRangeOutput is just a convenience function to call setBeginRangeOutput and setEndRangeOutput at the same time.
Synapse.Builder	Synapse.Builder.setRecurrent(boolean recurrent) The property recurrent specifies if input is a recurrent feedback link.
Synapse.Builder	Synapse.Builder.setSynapseId(int synapseId)
Synapse.Builder	Synapse.Builder.setWeight(double weight) The synapse weight of this input.

Methods in network.aika.neuron with parameters of type Synapse.Builder

Modifier and Type	Method and Description
void	Neuron.addSynapse(Document doc, Synapse.Builder input)
void	Neuron.addSynapse(Synapse.Builder input)
int	Synapse.Builder.compareTo(Synapse.Builder in)
static Neuron	Neuron.init(Document doc, Neuron n, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, Synapse.Builder... inputs) Creates a neuron with the given bias.
static Neuron	Neuron.init(Document doc, Neuron n, double bias, INeuron.Type type, INeuron.LogicType logicType, Synapse.Builder... inputs) Creates a neuron with the given bias.
static Neuron	Neuron.init(Neuron n, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, Synapse.Builder... inputs) Creates a neuron with the given bias.
static Neuron	Neuron.init(Neuron n, double bias, INeuron.Type type, INeuron.LogicType logicType, Synapse.Builder... inputs) Creates a neuron with the given bias.

Method parameters in network.aika.neuron with type arguments of type Synapse.Builder

Modifier and Type	Method and Description
boolean	Neuron.init(Document doc, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs)
static Neuron	Neuron.init(Document doc, Neuron n, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs) Initializes a neuron with the given bias.
boolean	Neuron.init(double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs) Initializes a neuron with the given bias.
static Neuron	Neuron.init(Neuron n, double bias, ActivationFunction activationFunction, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs) Initializes a neuron with the given bias.
static Neuron	Neuron.init(Neuron n, double bias, INeuron.Type type, INeuron.LogicType logicType, List<Synapse.Builder> inputs) Creates a neuron with the given bias.