📄 som_prototrain.html

📁 Kohonen的SOM软件包

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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_prototrain </title></head><body bgcolor=#f0f0f0><table border=0 width="100%" cellpadding=0 cellspacing=0><tr><td valign=baseline><font size=+2>SOM Toolbox</font></td><td valign=baseline align=center><a href="somtoolbox.html">Online documentation</td><td valign=baseline align=right><a href="http://www.cis.hut.fi/projects/somtoolbox/" target="_top">http://www.cis.hut.fi/projects/somtoolbox/</a></td></tr></table><hr><H1> som_prototrain </H1><P><B> [sM,sTrain] = som_prototrain(sM, D)</B></P><PRE>SOM_PROTOTRAIN  Use sequential algorithm to train the Self-Organizing Map. [sM,sT] = som_prototrain(sM, D)   sM = som_prototrain(sM,D);  Input and output arguments:    sM      (struct) map struct, the trained and updated map is returned           (matrix) codebook matrix of a self-organizing map                    size munits x dim or  msize(1) x ... x msize(k) x dim                    The trained map codebook is returned.   D       (struct) training data; data struct           (matrix) training data, size dlen x dim This function is otherwise just like SOM_SEQTRAIN except that the implementation of the sequential training algorithm is very  straightforward (and slower). This should make it easy for you  to modify the algorithm, if you want to.  For help on input and output parameters, try  'type som_prototrain' or check out the help for SOM_SEQTRAIN. See also SOM_SEQTRAIN, SOM_BATCHTRAIN.</PRE><p><hr><br><center>[ <a href="somtoolbox.html">SOM Toolbox online doc</a> ]</center><br><!-- Last updated: May 30 2002 --></body></html>

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