NAME

AI::NeuralNet::SOM::Rect - Perl extension for Kohonen Maps (rectangular topology)

SYNOPSIS

  use AI::NeuralNet::SOM::Rect;
  my $nn = new AI::NeuralNet::SOM::Rect (output_dim => "5x6",
                                         input_dim  => 3);
  $nn->initialize;
  $nn->train (30, 
    [ 3, 2, 4 ], 
    [ -1, -1, -1 ],
    [ 0, 4, -3]);

  print $nn->as_data;

INTERFACE

Constructor

The constructor takes the following arguments (additionally to those in the base class):

output_dim : (mandatory, no default)

A string of the form "3x4" defining the X and the Y dimensions.

Example:

    my $nn = new AI::NeuralNet::SOM::Rect (output_dim => "5x6",
                                           input_dim  => 3);

Methods

radius

map

$m = $nn->map

This method returns the 2-dimensional array of vectors in the grid (as a reference to an array of references to arrays of vectors. The representation of the 2-dimensional array is straightforward.

Example:

   my $m = $nn->map;
   for my $x (0 .. 5) {
       for my $y (0 .. 4){
           warn "vector at $x, $y: ". Dumper $m->[$x]->[$y];
       }
   }

as_data

print $nn->as_data

This methods creates a string containing the raw vector data, row by row. This can be fed into gnuplot, for instance.

SEE ALSO

http://www.ai-junkie.com/ann/som/som1.html

AUTHOR

Robert Barta, <rho@devc.at>

COPYRIGHT AND LICENSE

Copyright (C) 2007 by Robert Barta

This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself, either Perl version 5.8.8 or, at your option, any later version of Perl 5 you may have available.