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<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>
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