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=item $ann->layer_num_neurons($layer_index)

return the number of neurons on layer C<$layer_index>.

=item $ann->num_neurons

return a list with the number of neurons on every layer

=back

=head2 AI::FANN::TrainData

Wraps C C<struct fann_train_data> and provides the following method:

=over 4

=item AI::FANN::TrainData->new_from_file($filename)

-

=item AI::FANN::TrainData->new($input1, $output1 [, $input2, $output2, ...])

C<$inputx> and C<$outputx> are arrays with the values of the input and
output layers.

=item AI::FANN::TrainData->new_empty($num_data, $num_inputs, $num_outputs)

returns a new AI::FANN::TrainData object of the sizes indicated on the
arguments. The initial values of the data contained inside the object
are random and should be set before using the train data object for
training an ANN.

=item $train->data($index)

returns two arrays with the values of the input and output layer
respectively for that index.

=item $train->data($index, $input, $output)

C<$input> and C<$output> are two arrays.

The input and output layers at the index C<$index> are set to the
values on these arrays.

=item $train->shuffle

-

=item $train->scale_input($new_min, $new_max)

-

=item $train->scale_output($new_min, $new_max)

-

=item $train->scale($new_min, $new_max)

-

=item $train->subset($pos, $length)

-

=item $train->num_inputs

-

=item $train->num_outputs

-

=item $train->length

-

=back

=head1 INSTALLATION

See the README file for instruction on installing this module.

=head1 BUGS

Only tested on Linux.

I/O is not performed through PerlIO because the C library doesn't have
the required infrastructure to do that.

Send bug reports to my email address or use the CPAN RT system.

=head1 SEE ALSO

FANN homepage at L<http://leenissen.dk/fann/index.php>.

=head1 COPYRIGHT AND LICENSE

Copyright (C) 2006-2008 by Salvador FandiE<ntilde>o
(sfandino@yahoo.com).

This Perl module 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.

The Fast Artificial Neural Network Library (FANN)
Copyright (C) 2003-2006 Steffen Nissen (lukesky@diku.dk) and others.

Distributed under the GNU Lesser General Public License.

=cut