Presentation | 2003/6/20 A self-organizing model of distributed representation with various kind of feature detectors Hidemasa YOSHIDA, Toshio AOYAGI, Koji KURATA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A novel type of self-organizing feature map model for multiple dimensional stimulus space is presented and studied numerically. The essential algorithm is based on competitive neural networks in which we assume that multiple neurons are selected and their connections from an input layer are modified by Hebbian rule. In our new model information is represented by simultaneous activation of different kind of feature detectors. Moreover, as a result of learning, the neural array is divided into two areas detecting two different kind of features. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | self-organization / distributed representation / winner-share-all / orthogonalization |
Paper # | NC2003-19 |
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Committee | NC |
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Conference Date | 2003/6/20(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A self-organizing model of distributed representation with various kind of feature detectors |
Sub Title (in English) | |
Keyword(1) | self-organization |
Keyword(2) | distributed representation |
Keyword(3) | winner-share-all |
Keyword(4) | orthogonalization |
1st Author's Name | Hidemasa YOSHIDA |
1st Author's Affiliation | Department of Applied Analysis and Complex Dynamical Systems, Graduate School of Infomatics, Kyoto University() |
2nd Author's Name | Toshio AOYAGI |
2nd Author's Affiliation | Department of Applied Analysis and Complex Dynamical Systems, Graduate School of Infomatics, Kyoto University |
3rd Author's Name | Koji KURATA |
3rd Author's Affiliation | Department of Mechanical System Engineering, Faculty of Engineering, University of the Ryukyus |
Date | 2003/6/20 |
Paper # | NC2003-19 |
Volume (vol) | vol.103 |
Number (no) | 153 |
Page | pp.pp.- |
#Pages | 5 |
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