Presentation | 2003/12/11 Application of the Growing Self-Organizing Map Hiroki SASAMURA, Toshimichi SAITO, |
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PDF Download Page | PDF download Page Link |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2003/12/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Nonlinear Problems (NLP) |
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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 |
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