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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN"><!--Converted with LaTeX2HTML 97.1 (release) (July 13th, 1997) by Nikos Drakos (nikos@cbl.leeds.ac.uk), CBLU, University of Leeds* revised and updated by: Marcus Hennecke, Ross Moore, Herb Swan* with significant contributions from: Jens Lippman, Marek Rouchal, Martin Wilck and others --><HTML><HEAD><TITLE>5.4.4 Competitive Hebbian Learning</TITLE><META NAME="description" CONTENT="5.4.4 Competitive Hebbian Learning"><META NAME="keywords" CONTENT="DemoGNG"><META NAME="resource-type" CONTENT="document"><META NAME="distribution" CONTENT="global"><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=iso_8859_1"><LINK REL="STYLESHEET" HREF="DemoGNG.css"><LINK REL="next" HREF="node19.html"><LINK REL="previous" HREF="node17.html"><LINK REL="up" HREF="node14.html"><LINK REL="next" HREF="node19.html"></HEAD><BODY ><!--Navigation Panel--><A NAME="tex2html279" HREF="node19.html"><IMG WIDTH="37" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="next" SRC="http://www.neuroinformatik.ruhr-uni-bochum.de/icons/next_motif.gif"></A> <A NAME="tex2html276" HREF="node14.html"><IMG WIDTH="26" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="up" SRC="http://www.neuroinformatik.ruhr-uni-bochum.de/icons/up_motif.gif"></A> <A NAME="tex2html270" HREF="node17.html"><IMG WIDTH="63" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="previous" SRC="http://www.neuroinformatik.ruhr-uni-bochum.de/icons/previous_motif.gif"></A> <A NAME="tex2html278" HREF="node1.html"><IMG WIDTH="65" HEIGHT="24" ALIGN="BOTTOM" BORDER="0" ALT="contents" SRC="http://www.neuroinformatik.ruhr-uni-bochum.de/icons/contents_motif.gif"></A> <BR><B> Next:</B> <A NAME="tex2html280" HREF="node19.html">5.4.5 Neural Gas with</A><B> Up:</B> <A NAME="tex2html277" HREF="node14.html">5.4 Model Specific Options</A><B> Previous:</B> <A NAME="tex2html271" HREF="node17.html">5.4.3 Neural Gas</A><BR><BR><!--End of Navigation Panel--><A NAME="tex2html1" HREF="http://www.neuroinformatik.ruhr-uni-bochum.de/ini/VDM/research/gsn/DemoGNG/CHL_0.html">Competitive Hebbian Learning</A><IMG WIDTH="49" HEIGHT="38" ALIGN="BOTTOM" BORDER="0" SRC="../smallDuke.gif"><H3><A NAME="SECTION00074400000000000000">5.4.4 </A></H3>This implementation requires no model specific parameters. In generalone would have a maximum number of time steps (<I>t</I><SUB><I>max</I></SUB>).<P><BR><HR><ADDRESS><I>Hartmut S. Loos</I><BR><I>10/19/1998</I></ADDRESS></BODY></HTML>⌨️ 快捷键说明
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