Presentation 2006-03-20
SOM parallelized by ART and its applications
Tetsunari OSHIME, Takeshi EHARA, Toshimichi SAITO, Hiroyuki TORIKAI,
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Abstract(in English) In this paper we consider a learning algorithm of paralleled growing SOM and its application to TSP. First, as basic to parallel processing, the input-space is divided by ART. Next, a 1D SOM is allocated in each inputsubspace and the learning algorithm grows each SOM. In the case of TSP, an input corresponds to a city location. Connecting all the SOMs at some appropriate time, we obtain the tour. We investigate dependence of the number of division on computation time and tour length and snows possibility to speedy computation of almost optimal tour length.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-organizing maps (SOM) / growing cell structures / combinatorial optimization problems / traveling sales person problems (TSP) / Adaptive resonance theory (ART)
Paper # NLP2005-147
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Committee NLP
Conference Date 2006/3/13(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) SOM parallelized by ART and its applications
Sub Title (in English)
Keyword(1) Self-organizing maps (SOM)
Keyword(2) growing cell structures
Keyword(3) combinatorial optimization problems
Keyword(4) traveling sales person problems (TSP)
Keyword(5) Adaptive resonance theory (ART)
1st Author's Name Tetsunari OSHIME
1st Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University()
2nd Author's Name Takeshi EHARA
2nd Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University
3rd Author's Name Toshimichi SAITO
3rd Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University
4th Author's Name Hiroyuki TORIKAI
4th Author's Affiliation Department of electronics, Electrical and Computer Engineering, Hosei University
Date 2006-03-20
Paper # NLP2005-147
Volume (vol) vol.105
Number (no) 675
Page pp.pp.-
#Pages 6
Date of Issue