AI-NeuralNet-Mesh
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<TITLE>AI::NeuralNet::Mesh - An optimized, accurate neural network Mesh.</TITLE>
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<B>AI::NeuralNet::Mesh</B> - An optimized, accurate neural network Mesh.
</PRE>

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	<LI><A HREF="#name">NAME</A></LI>
	<LI><A HREF="#synopsis">SYNOPSIS</A></LI>
	<LI><A HREF="#version & updates">VERSION &amp; UPDATES</A></LI>
	<LI><A HREF="#description">DESCRIPTION</A></LI>
	<LI><A HREF="#exports">EXPORTS</A></LI>
	<LI><A HREF="#methods">METHODS</A></LI>
	<LI><A HREF="#custom activation functions">CUSTOM ACTIVATION FUNCTIONS</A></LI>
	<LI><A HREF="#variables">VARIABLES</A></LI>
	<LI><A HREF="#custom network connectors">CUSTOM NETWORK CONNECTORS</A></LI>
	<LI><A HREF="#what can it do">WHAT CAN IT DO?</A></LI>
	<LI><A HREF="#examples">EXAMPLES</A></LI>
	<LI><A HREF="#other included packages">OTHER INCLUDED PACKAGES</A></LI>
	<LI><A HREF="#bugs">BUGS</A></LI>
	<LI><A HREF="#author">AUTHOR</A></LI>
	<LI><A HREF="#thanks">THANKS</A></LI>
	<LI><A HREF="#download">DOWNLOAD</A></LI>
	<LI><A HREF="#mailing list">MAILING LIST</A></LI>
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<H1><A NAME="name">NAME</A></H1>
<P>AI::NeuralNet::Mesh - An optimized, accurate neural network Mesh.</P>
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<H1><A NAME="synopsis">SYNOPSIS</A></H1>
<PRE>

        use AI::NeuralNet::Mesh;

        # Create a mesh with 2 layers, 2 nodes/layer, and one output node.
        my $net = new AI::NeuralNet::Mesh(2,2,1);

        # Teach the network the AND function
        $net-&gt;learn([0,0],[0]);
        $net-&gt;learn([0,1],[0]);
        $net-&gt;learn([1,0],[0]);
        $net-&gt;learn([1,1],[1]);

        # Present it with two test cases
        my $result_bit_1 = $net-&gt;run([0,1])-&gt;[0];
        my $result_bit_2 = $net-&gt;run([1,1])-&gt;[0];



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