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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>References</TITLE><META NAME="description" CONTENT="References"><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="node25.html"><LINK REL="previous" HREF="node23.html"><LINK REL="up" HREF="DemoGNG.html"><LINK REL="next" HREF="node25.html"></HEAD><BODY ><!--Navigation Panel--><A NAME="tex2html343" HREF="node25.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="tex2html340" HREF="DemoGNG.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="tex2html334" HREF="node23.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="tex2html342" 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="tex2html344" HREF="node25.html">7 Change log</A><B> Up:</B> <A NAME="tex2html341" HREF="DemoGNG.html">DemoGNG v1.5</A><B> Previous:</B> <A NAME="tex2html335" HREF="node23.html">6 Wishlist</A><BR><BR><!--End of Navigation Panel--><H2><A NAME="SECTIONREF">References</A></H2><DL COMPACT><P></P><DT><A NAME="Fritzke94a"><STRONG>Fritzke, 1994</STRONG></A><DD>Fritzke, B. (1994).<BR><A NAME="tex2html1" HREF="http://www.neuroinformatik.ruhr-uni-bochum.de/ini/PEOPLE/fritzke/papers/fritzke.incremental_rbf.ps.gz">Fast learning with incremental RBF networks</A>.<BR><EM>Neural Processing Letters</EM>, 1(1):2-5.<P></P><DT><A NAME="Fritzke95"><STRONG>Fritzke, 1995a</STRONG></A><DD>Fritzke, B. (1995a).<BR><A NAME="tex2html1" HREF="http://www.neuroinformatik.ruhr-uni-bochum.de/ini/PEOPLE/fritzke/papers/fritzke.nips94.ps.gz">A growing neural gas network learns topologies</A>.<BR>In Tesauro, G., Touretzky, D. S., and Leen, T. K., editors, <EM>Advances in Neural Information Processing Systems 7</EM>, pages 625-632. MIT Press, Cambridge MA.<P><P></P><DT><A NAME="Fritzke95b"><STRONG>Fritzke, 1995b</STRONG></A><DD>Fritzke, B. (1995b).<BR><A NAME="tex2html1" HREF="ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/outgoing/fritzke/papers/fritzke.growing_grid.ps.gz">Growing grid - a self-organizing network with constant neighborhood range and adaptation strength</A>.<BR><EM>Neural Processing Letters</EM>, 2(5):9-13.<P></P><DT><A NAME="Fritzke97b"><STRONG>Fritzke, 1997a</STRONG></A><DD>Fritzke, B. (1997a).<BR><A NAME="tex2html1" HREF="ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/outgoing/fritzke/papers/fritzke.icann97.ps.gz">A self-organizing network that can follow non-stationary distributions</A>.<BR>In <EM>ICANN'97: International Conference on Artificial NeuralNetworks</EM>, pages 613-618. Springer.<P><P></P><DT><A NAME="Fritzke97a"><STRONG>Fritzke, 1997b</STRONG></A><DD>Fritzke, B. (1997b).<BR><A NAME="tex2html1" HREF="ftp://ftp.neuroinformatik.ruhr-uni-bochum.de/pub/manuscripts/IRINI/irini97-01/irini97-01.ps.gz">The LBG-U method for vector quantization - an improvement over LBG inspired from neural networks</A>.<BR><EM>Neural Processing Letters</EM>, 5(1).<P></P><DT><A NAME="Kohonen82b"><STRONG>Kohonen, 1982</STRONG></A><DD>Kohonen, T. (1982).<BR>Self-organized formation of topologically correct feature maps.<BR><EM>Biological Cybernetics</EM>, 43:59-69.<P><P></P><DT><A NAME="Linde80"><STRONG>Linde et al., 1980</STRONG></A><DD>Linde, Y., Buzo, A., and Gray, R. M. (1980).<BR>An algorithm for vector quantizer design.<BR><EM>IEEE Transactions on Communication</EM>, COM-28:84-95.<P><P></P><DT><A NAME="MacQueen67"><STRONG>MacQueen, 1967</STRONG></A><DD>MacQueen, J. (1967).<BR>Some methods for classification and analysis of multivariate observations.<BR>In LeCam, L. and Neyman, J., editors, <EM>Proceedings of the Fifth Berkeley Symposium on Mathematical statistics and probability</EM>, volume 1, pages 281-297, Berkeley. University of California Press.<P><P></P><DT><A NAME="Martinetz93"><STRONG>Martinetz, 1993</STRONG></A><DD>Martinetz, T. M. (1993).<BR>Competitive Hebbian learning rule forms perfectly topology preserving maps.<BR>In <EM>ICANN'93: International Conference on Artificial Neural Networks</EM>, pages 427-434, Amsterdam. Springer.<P><P></P><DT><A NAME="Martinetz91"><STRONG>Martinetz and Schulten, 1991</STRONG></A><DD>Martinetz, T. M. and Schulten, K. J. (1991).<BR>A ``neural-gas'' network learns topologies.<BR>In Kohonen, T., Mäkisara, K., Simula, O., and Kangas, J., editors, <EM>Artificial Neural Networks</EM>, pages 397-402. North-Holland, Amsterdam.<P><P></P><DT><A NAME="Martinetz94"><STRONG>Martinetz and Schulten, 1994</STRONG></A><DD>Martinetz, T. M. and Schulten, K. J. (1994).<BR>Topology representing networks.<BR><EM>Neural Networks</EM>, 7(3):507-522.</DL><P><BR><HR><ADDRESS><I>Hartmut S. Loos</I><BR><I>10/19/1998</I></ADDRESS></BODY></HTML>?? 快捷鍵說明
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