Presentation	2003/6/20 Modular Network SOM Self-Organizing Map of a Systems Group in Function Space Kazuhiro TOKUNAGA, Tetsuo FURUKAWA, Syozo YASUI,
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Abstract(in English)	Generalization of SOM called Modular Network SOM (MNSOM) is presented herein. In it, each unit of the conventional SOM is replaced by a functional module which is a multi-layer neural network. MNSOM learns a group of systems in terms of their input-output relationships, thus producing different models corresponding to the member systems. At the same time, each such model is allocated in a 2D-space according to the mutual nearness, on the basis of the Winner-Take- All policy as well as the neighborhood cooperation in much the same way as in the usual SOM. Thus, MNSOM is a SOM in the function space rather than the vector space, not merely allowing data classification in terms of the modular-network representation models, but also tells the distance between the models. The feasibility of MNSOM is demonstrated by an example relevant to a family of cubic functions as well as another involving a nation-wide meteorological dataset.
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Keyword(in English)	Modular Network / Self-Organizing Map / Neighborhood function
Paper #	NC2003-17
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Committee	NC
Conference Date	2003/6/20(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Modular Network SOM Self-Organizing Map of a Systems Group in Function Space
Sub Title (in English)
Keyword(1)	Modular Network
Keyword(2)	Self-Organizing Map
Keyword(3)	Neighborhood function
1st Author's Name	Kazuhiro TOKUNAGA
1st Author's Affiliation	Graduate School of Life Science and System Engineering, Kyushu Institute of Technology()
2nd Author's Name	Tetsuo FURUKAWA
2nd Author's Affiliation	Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
3rd Author's Name	Syozo YASUI
3rd Author's Affiliation	Graduate School of Life Science and System Engineering, Kyushu Institute of Technology
Date	2003/6/20
Paper #	NC2003-17
Volume (vol)	vol.103
Number (no)	153
Page	pp.pp.-
#Pages	6
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