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Issue:Modeling the work of learning vector quantization neural networks

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Title of paper: Modeling the work of learning vector quantization neural networks
Author(s):
Maciej Krawczak
Systems Research Institute - Polish Academy of Sciences, Newelska 6, 01-447 Warsaw, Poland
krawczak@ibspan.waw.pl
Sotir Sotirov
"Prof. Asen Zlatarov" University, Bourgas-8000, Bulgaria
ssotirov@btu.bg
Vassilis Kodogiannis
Centre for Systems Analysis, School of Computer Science, University of Westminster, London HA1 3TP, United Kingdom
kodogiv@wmin.ac.uk
Presented at: 7th International Workshop on Generalized Nets, Sofia, 14-15 July 2006
Published in: Conference proceedings, pages 39—44
Download: Download-icon.png PDF (155  Kb, Info)
Abstract: In this paper we introduce e GN-model of the work of Learning Vector Quantization neural networks. The model can be used for the optimization and following the network’s behavior in future.
Keywords: Neural network, Generalized nets, LVQ
References:
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