Package network.aika.neuron

Class Synapse

  • All Implemented Interfaces:
    Writable
    public class Synapse
extends java.lang.Object
implements Writable
    The Synapse class connects two neurons with each other. When propagating an activation signal, the weight of the synapse is multiplied with the activation value of the input neurons activation. The result is then added to the output neurons weighted sum to compute the output activation value. In contrast to a conventional neural network synapses in Aika do not just propagate the activation value from one neuron to the next, but also structural information like the text range and the relational id (e.g. word position) and also the interpretation to which the input activation belongs. To determine in which way the structural information should be propagated synapses in Aika possess a few more properties.

    The properties relativeRid and absoluteRid determine either the relative difference between the rid of the input activation and the rid of the output activation or require a fixed rid as input.

    The properties range match, range mapping and range output manipulate the ranges. The range match determines whether the input range begin or end is required to be equal, greater than or less than the range of the output activation. The range mapping can be used to map for example an input range end to an output range begin. Usually this simply maps begin to begin and end to end. The range output property is a boolean flag which determines whether the input range should be propagated to the output activation.

    Furthermore, the property isRecurrent specifies if this synapse is a recurrent feedback link. Recurrent feedback links can be either negative or positive depending on the weight of the synapse. Recurrent feedback links kind of allow to use future information as inputs of a current neuron. Aika allows this by making assumptions about the recurrent input neuron. The class SearchNode modifies these assumptions until the best interpretation for this document is found.

    Author:
    Lukas Molzberger

    • Field Detail

      • DISJUNCTION_THRESHOLD

        public static double DISJUNCTION_THRESHOLD

      • CONJUNCTION_THRESHOLD

        public static double CONJUNCTION_THRESHOLD

      • TOLERANCE

        public static double TOLERANCE

      • INPUT_SYNAPSE_COMP

        public static final java.util.Comparator<Synapse> INPUT_SYNAPSE_COMP

      • OUTPUT_SYNAPSE_COMP

        public static final java.util.Comparator<Synapse> OUTPUT_SYNAPSE_COMP

    • Constructor Detail

      • Synapse

        public Synapse()

      • Synapse

        public Synapse​(Neuron input,
               Neuron output,
               java.lang.Integer id)

    • Method Detail

      • getInput

        public Neuron getInput()

      • getOutput

        public Neuron getOutput()

      • getId

        public java.lang.Integer getId()

      • isRecurrent

        public boolean isRecurrent()

      • setRecurrent

        public void setRecurrent​(boolean recurrent)

      • isIdentity

        public boolean isIdentity()

      • setIdentity

        public void setIdentity​(boolean identity)

      • getRelations

        public java.util.Map<java.lang.Integer,​Relation> getRelations()

      • setRelations

        public void setRelations​(java.util.Map<java.lang.Integer,​Relation> relations)

      • setDistanceFunction

        public void setDistanceFunction​(DistanceFunction distanceFunction)

      • getExtension

        public <T extends Writable> T getExtension()

      • setExtension

        public void setExtension​(Writable extension)

      • isInactive

        public boolean isInactive()

      • setInactive

        public void setInactive​(boolean inactive)

      • isConjunction

        public boolean isConjunction()

      • isDisjunction

        public boolean isDisjunction()

      • getWeight

        public double getWeight()

      • getBias

        public double getBias()

      • getLimit

        public double getLimit()

      • getNewWeight

        public double getNewWeight()

      • getNewBias

        public double getNewBias()

      • getNewLimit

        public double getNewLimit()

      • link

        public void link()

      • relink

        public void relink()

      • unlink

        public void unlink()

      • getMaxInputValue

        public double getMaxInputValue()

      • exists

        public boolean exists()

      • commit

        public void commit()

      • isZero

        public boolean isZero()

      • isConjunction

        public boolean isConjunction​(Synapse.State state)

      • isDisjunction

        public boolean isDisjunction​(Synapse.State state)

      • updateDelta

        public void updateDelta​(Document doc,
                        double weightDelta,
                        double biasDelta,
                        double limitDelta)

      • update

        public void update​(Document doc,
                   double weight,
                   double bias,
                   double limit)

      • isNegative

        public boolean isNegative()

      • getRelationById

        public Relation getRelationById​(java.lang.Integer id)

      • toString

        public java.lang.String toString()
        Overrides:
        toString in class java.lang.Object

      • write

        public void write​(java.io.DataOutput out)
           throws java.io.IOException
        Description copied from interface: Writable
        Serialize the fields of this object to out.
        Specified by:
        write in interface Writable
        Parameters:
        out - DataOuput to serialize this object into.
        Throws:
        java.io.IOException

      • readFields

        public void readFields​(java.io.DataInput in,
                       Model m)
                throws java.io.IOException
        Description copied from interface: Writable
        Deserialize the fields of this object from in.

        For efficiency, implementations should attempt to re-use storage in the existing object where possible.

        Specified by:
        readFields in interface Writable
        Parameters:
        in - DataInput to deseriablize this object from.
        Throws:
        java.io.IOException

      • read

        public static Synapse read​(java.io.DataInput in,
                           Model m)
                    throws java.io.IOException
        Throws:
        java.io.IOException

      • createOrReplace

        public static Synapse createOrReplace​(Document doc,
                                      java.lang.Integer synapseId,
                                      Neuron inputNeuron,
                                      Neuron outputNeuron)

      • linksOutput

        public java.util.Set<java.lang.Integer> linksOutput()

      • linksAnyOutput

        public boolean linksAnyOutput()