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author | Daniel Wolff |
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date | Fri, 19 Aug 2016 13:07:06 +0200 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/toolboxes/FullBNT-1.0.7/nethelp3.3/somfwd.htm Fri Aug 19 13:07:06 2016 +0200 @@ -0,0 +1,59 @@ +<html> +<head> +<title> +Netlab Reference Manual somfwd +</title> +</head> +<body> +<H1> somfwd +</H1> +<h2> +Purpose +</h2> +Forward propagation through a Self-Organising Map. + +<p><h2> +Synopsis +</h2> +<PRE> + +d2 = somfwd(net, x) +</PRE> + + +<p><h2> +Description +</h2> +<CODE>d2 = somfwd(net, x)</CODE> propagates the data matrix <CODE>x</CODE> through + a SOM <CODE>net</CODE>, returning the squared distance matrix <CODE>d2</CODE> with +dimension <CODE>nin</CODE> by <CODE>num_nodes</CODE>. The $i$th row represents the +squared Euclidean distance to each of the nodes of the SOM. + +<p><CODE>[d2, win_nodes] = somfwd(net, x)</CODE> also returns the indices of the +winning nodes for each pattern. + +<p><h2> +Example +</h2> + +<p>The following code fragment creates a SOM with a $5times 5$ map for an +8-dimensional data space. It then applies the test data to the map. +<PRE> + +net = som(8, [5, 5]); +[d2, wn] = somfwd(net, test_data); +</PRE> + + +<p><h2> +See Also +</h2> +<CODE><a href="som.htm">som</a></CODE>, <CODE><a href="somtrain.htm">somtrain</a></CODE><hr> +<b>Pages:</b> +<a href="index.htm">Index</a> +<hr> +<p>Copyright (c) Ian T Nabney (1996-9) + + +</body> +</html> \ No newline at end of file