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lib/AI/NeuralNet/Kohonen.pm  view on Meta::CPAN

For every generation, iterates:

=over 4

=item 1

selects a target from the input array (see L</PRIVATE METHOD _select_target>);

=item 2

finds the best-matching unit (see L</METHOD find_bmu>);

=item 3

adjusts the neighbours of the BMU (see L</PRIVATE METHOD _adjust_neighbours_of>);

=back

At the end of every generation, the learning rate is decayed
(see L</PRIVATE METHOD _decay_learning_rate>).

lib/AI/NeuralNet/Kohonen.pm  view on Meta::CPAN

Enhancement factor: e.g. weight=3.  The training rate for the
corresponding input pattern vector is multiplied by this
parameter so that the reference vectors are updated as if this
input vector were repeated 3 times during training (i.e., as if
the same vector had been stored 2 extra times in the data file).

=item -

Fixed-point qualifier: e.g. fixed=2,5.  The map unit defined by
the fixed-point coordinates (x = 2; y = 5) is selected instead of
the best-matching unit for training. (See below for the definition
of coordinates over the map.) If several inputs are forced to
known locations, a wanted orientation results in the map.

=back

=back

Not (yet) implimented in file format:

=over 4