📄 somfwd.htm
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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> withdimension <CODE>nin</CODE> by <CODE>num_nodes</CODE>. The $i$th row represents thesquared Euclidean distance to each of the nodes of the SOM.<p><CODE>[d2, win_nodes] = somfwd(net, x)</CODE> also returns the indices of thewinning nodes for each pattern.<p><h2>Example</h2><p>The following code fragment creates a SOM with a $5times 5$ map for an8-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>⌨️ 快捷键说明
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