Presentation | 2006-06-16 Generalized self-organizing map : Fusion of supervised learning and unsupervised learning Kazuhiro TOKUNAGA, Tetsuo FURUKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We proposed a modular network SOM (mnSOM) some years ago. The mnSOM is an extension and a generalization of the conventional SOM in which each nodal unit is replaced by a module such as a neural network. Therefore, it is expected that the mnSOM extends the area of applications beyond the conventional SOM. We have engaged to establish the theory and algorithm of mnSOM, and to apply the mnSOM to several research topicks, in order to make the fundamental technology which is usable generally in expensive studies. In this paper, the theory and the algorithm of the mnSOM are shown, moreover, the result of applications in the mnSOM are presented. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Modular network SOM / self-organizing map / supervided learning / unsupervised learning |
Paper # | NC2006-35 |
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Committee | NC |
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Conference Date | 2006/6/9(1days) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Generalized self-organizing map : Fusion of supervised learning and unsupervised learning |
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Keyword(1) | Modular network SOM |
Keyword(2) | self-organizing map |
Keyword(3) | supervided learning |
Keyword(4) | unsupervised learning |
1st Author's Name | Kazuhiro TOKUNAGA |
1st Author's Affiliation | Kyushu Institute of Technology, Graduate School of Life Science and Systems Engineering() |
2nd Author's Name | Tetsuo FURUKAWA |
2nd Author's Affiliation | Kyushu Institute of Technology, Graduate School of Life Science and Systems Engineering |
Date | 2006-06-16 |
Paper # | NC2006-35 |
Volume (vol) | vol.106 |
Number (no) | 102 |
Page | pp.pp.- |
#Pages | 6 |
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