Presentation | 2009-01-19 Handwritten Character Recognition by NG×SOM Kouichi GUNYA, Makoto OTANI, Tetsuo FURUKAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have proposed SOM^2 and NG×SOM algorithms. These algorithms have the ability of representing a set of data distributions. SOM^2 is the algorithm in which the reference vector units of the conventional SOM are replaced by the SOM modules. In the same way, NG×SOM has the SOM architecture with NG modules. In NG×SOM, each NG module represents a data distribution independently. As the result, NG×SOM sometimes fails to make an unappropriate interpolation between two data distributions. In this paper, we propose an novel algorithm in which the topological structure is unified though NG modules. The new NG×SOM was applied to hand written letter recognition, and the result shows the good performance of the algorithm. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | self-organizing maps / neural gas / SOM^2 / NG×SOM / Handwritten Character Recognition |
Paper # | NC2008-84 |
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Committee | NC |
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Conference Date | 2009/1/12(1days) |
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Paper Information | |
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) | Handwritten Character Recognition by NG×SOM |
Sub Title (in English) | |
Keyword(1) | self-organizing maps |
Keyword(2) | neural gas |
Keyword(3) | SOM^2 |
Keyword(4) | NG×SOM |
Keyword(5) | Handwritten Character Recognition |
1st Author's Name | Kouichi GUNYA |
1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Makoto OTANI |
2nd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
3rd Author's Name | Tetsuo FURUKAWA |
3rd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
Date | 2009-01-19 |
Paper # | NC2008-84 |
Volume (vol) | vol.108 |
Number (no) | 383 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |