edu.wlu.cs.levy.SNARLI
Class IGG

java.lang.Object
  |
  +--edu.wlu.cs.levy.SNARLI.Map2D
        |
        +--edu.wlu.cs.levy.SNARLI.IGG

public class IGG

extends Map2D

IGG implements Fritzke's Incremental Growing Grid network. Based on

@Article{Fritzke1994,
    author =  {B. Fritzke},
    title =   {Growing cell structures - a self-organizing network for 
               unsupervised and supervised learning},
    journal = {Neural Networks},
    year =    {1994},
    volume =  {7},
    number =  {9},
    pages =   {1441-1460}
  }
  

Since:

JDK1.2

Constructor Summary

IGG(double[][] X)
Builds IGG with random initial weights and uniform probability density function.

IGG(double[][] X, double[] P)
Builds IGG with random initial weights.

IGG(double[][] X, double[] P, long seed)
Builds IGG with random initial weights.

IGG(double[][] X, double[] P, java.util.Random rand)
Builds IGG with random initial weights.

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

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

Method Summary

void	grow(int Nmin, double e0, double sigma, int lambda_g) Runs the growth phase.
void	tune(double e0, double e1, double sigma, int lambda_f) Runs the fine-tuning phase.

Methods inherited from class edu.wlu.cs.levy.SNARLI.Map2D

getColumnDimension, getRowDimension, getUnit, getUnits, getWeights

Methods inherited from class java.lang.Object

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

Constructor Detail

IGG

public IGG(double[][] X,
           double[] P,
           java.util.Random rand)
    throws java.lang.IllegalArgumentException

Builds IGG with random initial weights.

Parameters:

X - data to learn

P - probability density function over X

rand - random-number generator

Throws:

java.lang.IllegalArgumentException - if X has fewer than two dimensions

java.lang.IllegalArgumentException - if X and P have different lengths

java.lang.IllegalArgumentException - if elements of P do not sum to 1

IGG

public IGG(double[][] X,
           double[] P)
    throws java.lang.IllegalArgumentException

Builds IGG with random initial weights.

Parameters:

X - data to learn

P - probability density function over X

Throws:

java.lang.IllegalArgumentException - if x and P have different lengths

java.lang.IllegalArgumentException - if elements of P do not sum to 1

IGG

public IGG(double[][] X,
           double[] P,
           long seed)
    throws java.lang.IllegalArgumentException

Builds IGG with random initial weights.

Parameters:

X - data to learn

P - probability density function over X

seed - seed for random-number generator

Throws:

java.lang.IllegalArgumentException - if X and P have different lengths

java.lang.IllegalArgumentException - if elements of P do not sum to 1

IGG

public IGG(double[][] X)

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

Parameters:

X - data to learn

IGG

public IGG(double[][] X,
           long seed)

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

Parameters:

X - data to learn

seed - seed for random-number generator

IGG

public IGG(double[][] X,
           java.util.Random rand)

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

Parameters:

X - data to learn

rand - random-number generator

Method Detail

grow

public void grow(int Nmin,
                 double e0,
                 double sigma,
                 int lambda_g)

Runs the growth phase. Learning rate e(t) = e0.

Parameters:

Nmin - desired network size

e0 - learning rate

sigma - width parameter

lambda_g - saturation parameter

tune

public void tune(double e0,
                 double e1,
                 double sigma,
                 int lambda_f)
          throws java.lang.IllegalArgumentException

Runs the fine-tuning phase. Learning rate e(t) = e0(e1/e0)^{t/tmax}.

Parameters:

e0 - learning rate

e1 - learning rate

sigma - width parameter

lambda_f - saturation parameter

java.lang.IllegalArgumentException