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=head2 AI::NNFlex::Dataset

 new (	[[INPUT VALUES],[INPUT VALUES],
	[INPUT VALUES],[INPUT VALUES],..])

=head2 INPUT VALUES

These should be comma separated values. They can be applied to the network with ::run or ::learn

=head2 OUTPUT VALUES
	
These are the intended or target output values. Comma separated. These will be used by ::learn


=head1 METHODS

This is a short list of the main methods implemented in AI::NNFlex::Hopfield.

=head2 AI::NNFlex::Hopfield

=head2 add_layer

 Syntax:

 $network->add_layer(	nodes=>NUMBER OF NODES IN LAYER	);

=head2 init

 Syntax:

 $network->init();

Initialises connections between nodes.

=head2 run

 $network->run($dataset)

Runs the dataset through the network and returns a reference to an array of output patterns.

=head1 EXAMPLES

See the code in ./examples.


=head1 PREREQs

Math::Matrix

=head1 ACKNOWLEDGEMENTS

=head1 SEE ALSO

 AI::NNFlex
 AI::NNFlex::Backprop


=head1 TODO

More detailed documentation. Better tests. More examples.

=head1 CHANGES

v0.1 - new module

=head1 COPYRIGHT

Copyright (c) 2004-2005 Charles Colbourn. All rights reserved. This program is free software; you can redistribute it and/or modify it under the same terms as Perl itself.

=head1 CONTACT

 charlesc@nnflex.g0n.net



=cut