AI-NeuralNet-Mesh
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This will load from disk any network saved by save() and completly restore the internal
state at the point it was save() was called at.
If the file is of an invalid file type, then load() will
return undef. Use the error() method, below, to print the error message.
If there were no errors, it will return a refrence to $net.
UPDATE: $filename can now be a newline-seperated set of mesh data. This enables you
to do $net->load(join("\n",<DATA>)) and other fun things. I added this mainly
for a demo I'm writing but not qutie done with yet. So, Cheers!
=item $net->activation($layer,$type);
This sets the activation type for layer C<$layer>.
C<$type> can be one of four values:
<P>If there were no errors, it will return a refrence to $net.</P>
<P></P>
<DT><STRONG><A NAME="item_load">$net->load($filename);</A></STRONG><BR>
<DD>
This will load from disk any network saved by <A HREF="#item_save"><CODE>save()</CODE></A> and completly restore the internal
state at the point it was <A HREF="#item_save"><CODE>save()</CODE></A> was called at.
<P>If the file is of an invalid file type, then <A HREF="#item_load"><CODE>load()</CODE></A> will
return undef. Use the <A HREF="#item_error"><CODE>error()</CODE></A> method, below, to print the error message.</P>
<P>If there were no errors, it will return a refrence to $net.</P>
<P>UPDATE: $filename can now be a newline-seperated set of mesh data. This enables you
to do $net->load(join(``\n'',<DATA>)) and other fun things. I added this mainly
for a demo I'm writing but not qutie done with yet. So, Cheers!</P>
<P></P>
<DT><STRONG><A NAME="item_activation">$net->activation($layer,$type);</A></STRONG><BR>
<DD>
This sets the activation type for layer <CODE>$layer</CODE>.
<P><CODE>$type</CODE> can be one of four values:</P>
<PRE>
linear ( simply use sum of inputs as output )
sigmoid [ sigmoid_1 ] ( only positive sigmoid )
sigmoid_2 ( positive / 0 /negative sigmoid )
( run in 1.918 second using v1.01-cache-2.11-cpan-140bd7fdf52 )