org.retro.neural
Class SOM

java.lang.Object
  org.retro.neural.Map2D
      org.retro.neural.SOM

public class SOM

extends Map2D

Nested Class Summary

Nested classes inherited from class org.retro.neural.Map2D

Map2D.ReportTimerTask

Field Summary

Fields inherited from class org.retro.neural.Map2D

_A, _N1, _N2, _percent_done, _PX, _wheel, REPORT_MSEC

Constructor Summary

SOM(double[][] X, int N1, int N2)

SOM(double[][] X, int N1, int N2, double[] P)

SOM(double[][] X, int N1, int N2, double[] P, long seed)

SOM(double[][] X, int N1, int N2, double[] P, java.util.Random rand)

SOM(double[][] X, int N1, int N2, long seed)
Builds SOM with random initial weights and uniform probability density function.

SOM(double[][] X, int N1, int N2, java.util.Random rand)
Builds SOM with random initial weights and uniform probability density function.

Method Summary

protected void	initA()
void	learn(double ei, double ef, double sigma_i, double sigma_f, int tmax) Runs learning iterations.
protected double	sigma(int t, int tmax)

Methods inherited from class org.retro.neural.Map2D

adapt, getColumnDimension, getRowDimension, getUnit, getUnit, getUnits, getWeights, learn, randomSignal, scale, updf, vector, winner

Methods inherited from class java.lang.Object

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

Constructor Detail

SOM

public SOM(double[][] X,
           int N1,
           int N2,
           double[] P,
           java.util.Random rand)
    throws java.lang.IllegalArgumentException

SOM

public SOM(double[][] X,
           int N1,
           int N2,
           double[] P)
    throws java.lang.IllegalArgumentException

SOM

public SOM(double[][] X,
           int N1,
           int N2,
           double[] P,
           long seed)
    throws java.lang.IllegalArgumentException

SOM

public SOM(double[][] X,
           int N1,
           int N2)

SOM

public SOM(double[][] X,
           int N1,
           int N2,
           long seed)

Builds SOM with random initial weights and uniform probability density function.

Parameters:

X - data to learn

N1 - number of rows

N2 - number of columns

seed - seed for random-number generator

SOM

public SOM(double[][] X,
           int N1,
           int N2,
           java.util.Random rand)

Builds SOM with random initial weights and uniform probability density function.

Parameters:

X - data to learn

N1 - number of rows

N2 - number of columns

rand - random-number generator

Method Detail

learn

public void learn(double ei,
                  double ef,
                  double sigma_i,
                  double sigma_f,
                  int tmax)

Runs learning iterations. Learning rate e(t) = ei(ef/ei)^{t/tmax}.

Parameters:

sigma_i - initial width parameter

sigma_f - final width parameter

tmax - total number of time-steps to run

initA

protected void initA()

Specified by:

initA in class Map2D

sigma

protected double sigma(int t,
                       int tmax)

Specified by:

sigma in class Map2D