AI-NNFlex

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lib/AI/NNFlex.pm  view on Meta::CPAN

 Damages the network.

B<PROBABILITY>

A value between 0 and 1, denoting the probability of a given node or connection being damaged.

Note: this method may be called on a per network, per node or per layer basis using the appropriate object.

=head1 EXAMPLES

See the code in ./examples. For any given version of NNFlex, xor.pl will contain the latest functionality.


=head1 PREREQs

None. NNFlex should run OK on any version of Perl 5 >. 


=head1 ACKNOWLEDGEMENTS

Phil Brierley, for his excellent free java code, that solved my backprop problem

lib/AI/NNFlex/Backprop.pm  view on Meta::CPAN

'Teaches' the network the dataset using the networks defined learning algorithm. Returns sqrError;

=head2 run

 $dataset->run($network)

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

=head1 EXAMPLES

See the code in ./examples. For any given version of NNFlex, xor.pl will contain the latest functionality.


=head1 PREREQs

None. NNFlex::Backprop should run OK on any version of Perl 5 >. 


=head1 ACKNOWLEDGEMENTS

Phil Brierley, for his excellent free java code, that solved my backprop problem

lib/AI/NNFlex/Dataset.pm  view on Meta::CPAN

=head1 SYNOPSIS

 use AI::NNFlex::Dataset;

 my $dataset = AI::NNFlex::Dataset->new([[0,1,1,0],[0,0,1,1]]);

 $dataset->add([[0,1,0,1],[1,1,0,0]]);

 $dataset->add([0,1,0,0]);

 $dataset->save(filename=>'test.pat');

 $dataset->load(filename=>'test.pat');

=head1 DESCRIPTION

This module allows you to construct, load, save and maintain datasets for use with neural nets implemented using the AI::NNFlex classes. The dataset consists of an array of references to arrays of data. Items may be added in pairs (useful for feedfor...

=head1 CONSTRUCTOR 

=head2 AI::NNFlex::Dataset->new([[INPUT],[TARGET]]);

Parameters:

lib/AI/NNFlex/Hopfield.pm  view on Meta::CPAN

=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

lib/AI/NNFlex/Reinforce.pm  view on Meta::CPAN

'Teaches' the network the dataset using the networks defined learning algorithm. Returns sqrError;

=head3 run

 $dataset->run($network)

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

=head1 EXAMPLES

See the code in ./examples. For any given version of NNFlex, xor.pl will contain the latest functionality.


=head1 PREREQs

None. NNFlex::Reinforce should run OK on any version of Perl 5 >. 


=head1 ACKNOWLEDGEMENTS

Phil Brierley, for his excellent free java code, that solved my backprop problem