smile.vq.hebb

Class Neuron

java.lang.Object

smile.vq.hebb.Neuron

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<Neuron>

public class Neuron
extends java.lang.Object
implements java.lang.Comparable<Neuron>, java.io.Serializable

The neuron vertex in the growing neural gas network.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double	counter The local counter variable (e.g.
double	distance The distance between the neuron and an input signal.
java.util.List<Edge>	edges The direct connected neighbors.
double[]	w The reference vector.

Constructor Summary

Constructors

Constructor and Description
Neuron(double[] w) Constructor.
Neuron(double[] w, double counter) Constructor.

Method Summary

Modifier and Type	Method and Description
void	addEdge(Neuron neighbor) Adds an edge.
void	addEdge(Neuron neighbor, int age) Adds an edge.
void	age() Increments the age of all edges emanating from the neuron.
int	compareTo(Neuron o)
void	distance(double[] x) Computes the distance between the neuron and a signal.
void	removeEdge(Neuron neighbor) Removes an edge.
void	setEdgeAge(Neuron neighbor, int age) Sets the age of edge.
void	update(double[] x, double eps) Updates the reference vector by w += eps * (x - w).

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

w

public final double[] w

The reference vector.

edges

public final java.util.List<Edge> edges

The direct connected neighbors.

distance

public double distance

The distance between the neuron and an input signal.

counter

public double counter

The local counter variable (e.g. the accumulated error, freshness, etc.)

Constructor Detail

Neuron

public Neuron(double[] w)

Constructor.

Neuron

public Neuron(double[] w,
              double counter)

Constructor.

Method Detail

update

public void update(double[] x,
                   double eps)

Updates the reference vector by w += eps * (x - w).

Parameters:

x - a signal.

eps - the learning rate.

addEdge

public void addEdge(Neuron neighbor)

Adds an edge.

addEdge

public void addEdge(Neuron neighbor,
                    int age)

Adds an edge.

removeEdge

public void removeEdge(Neuron neighbor)

Removes an edge.

setEdgeAge

public void setEdgeAge(Neuron neighbor,
                       int age)

Sets the age of edge.

age

public void age()

Increments the age of all edges emanating from the neuron.

distance

public void distance(double[] x)

Computes the distance between the neuron and a signal.

compareTo

public int compareTo(Neuron o)

Specified by:

compareTo in interface java.lang.Comparable<Neuron>