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Changes  view on Meta::CPAN

                - custom node activations
                - increased learning speed

0.43  Wed Sep 14 03:13:01 20000
        - Third release, by Josiah Bryan
        - Several bug fixes
                - fixed 'flag' option on learn_set()
                - fixed multiple-output bug
                - fixed learning gradient error
        - Improved learning function to not degrade increment automatically
        - Added CSV-style dataset loader
        - Added Export tags
        - Added four custom node activations, including range and ramp
        - Added several misc. extra functions
        - Added ALN example demo

Mesh.pm  view on Meta::CPAN

=item $AI::NeuralNet::Mesh::DEBUG

This variable controls the verbosity level. It will not hurt anything to set this 
directly, yet most people find it easier to set it using the debug() method, or 
any of its aliases.


=head1 CUSTOM NETWORK CONNECTORS

Creating custom network connectors is step up from average use of this module. 
However, it can be very useful in creating other styles of neural networks, other
than the default fully-connected feed-foward network. 

You create a custom connector by setting the variable $AI::NeuralNet::Mesh::Connector
to the fully qualified name of the function used to make the actual connections
between the nodes in the network. This variable contains '_c' by default, but if you use
this variable, be sure to add the fully qualified name of the method. For example,
in the ALN example, I use a connector in the main package called tree() instead of
the default connector. Before I call the new() constructor, I use this line of code:

	$AI::NeuralNet::Mesh::Connector = 'main::tree'

mesh.htm  view on Meta::CPAN

<DT><STRONG><A NAME="item_%24AI%3A%3ANeuralNet%3A%3AMesh%3A%3ADEBUG">$AI::NeuralNet::Mesh::DEBUG</A></STRONG><BR>
<DD>
This variable controls the verbosity level. It will not hurt anything to set this 
directly, yet most people find it easier to set it using the <A HREF="#item_debug"><CODE>debug()</CODE></A> method, or 
any of its aliases.
<P></P></DL>
<P>
<HR>
<H1><A NAME="custom network connectors">CUSTOM NETWORK CONNECTORS</A></H1>
<P>Creating custom network connectors is step up from average use of this module. 
However, it can be very useful in creating other styles of neural networks, other
than the default fully-connected feed-foward network.</P>
<P>You create a custom connector by setting the variable $AI::NeuralNet::Mesh::Connector
to the fully qualified name of the function used to make the actual connections
between the nodes in the network. This variable contains '_c' by default, but if you use
this variable, be sure to add the fully qualified name of the method. For example,
in the ALN example, I use a connector in the main package called <CODE>tree()</CODE> instead of
the default connector. Before I call the <A HREF="#item_new"><CODE>new()</CODE></A> constructor, I use this line of code:</P>
<PRE>
        $AI::NeuralNet::Mesh::Connector = 'main::tree'
</PRE>