Presentation 2003/12/11
Application of the Growing Self-Organizing Map
Hiroki SASAMURA, Toshimichi SAITO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a simple learning algorithm for growing self-organizing maps and considers its application. Using this algorithm, the map can grow according to the input space. We have applied the algorithm to generate a desired graph correspondig to a commnicaton with fewwer connections, and have found that the resalting network has "small-world network" structures.
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Keyword(in English) Unsupervised learning / Self-organizing network / Growing cell structures / Small-world networks
Paper # NLP2003-135
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Conference Information
Committee NLP
Conference Date 2003/12/11(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) Application of the Growing Self-Organizing Map
Sub Title (in English)
Keyword(1) Unsupervised learning
Keyword(2) Self-organizing network
Keyword(3) Growing cell structures
Keyword(4) Small-world networks
1st Author's Name Hiroki SASAMURA
1st Author's Affiliation EECE Dept., Hosei University()
2nd Author's Name Toshimichi SAITO
2nd Author's Affiliation EECE Dept., Hosei University
Date 2003/12/11
Paper # NLP2003-135
Volume (vol) vol.103
Number (no) 503
Page pp.pp.-
#Pages 6
Date of Issue