Presentation 1996/7/24
A Modification of Counterpropagation and its Application
Kikuo Fujimura, Nobuhiro Muraoka, Heizo Tokutaka, Satoru Kishida, Masumi Ishikawa,
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Abstract(in English) In this paper, we introduce a new Neural Network architecture based on Counterpropagation which is suitable for the multi-classification problem. The proposed network has improved spatial resolution on the competitive layer by expanded two dimensional Kohonen network and an additional new mechanism of dynamical weight generation. Also, we can apply the proposed network to solve the multi-classification problem in the real world using the popular class workstation.
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Keyword(in English) Counterpropagation / Self-Organizing Maps / Multi Classification / Dynamical Weights Generation
Paper # NC96-28
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Committee NC
Conference Date 1996/7/24(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Modification of Counterpropagation and its Application
Sub Title (in English)
Keyword(1) Counterpropagation
Keyword(2) Self-Organizing Maps
Keyword(3) Multi Classification
Keyword(4) Dynamical Weights Generation
1st Author's Name Kikuo Fujimura
1st Author's Affiliation Department of Electrical and Electoronic Engineering, Tottori University()
2nd Author's Name Nobuhiro Muraoka
2nd Author's Affiliation Mitsurbishi Electric Micro-Computer Application Software Corporation
3rd Author's Name Heizo Tokutaka
3rd Author's Affiliation Department of Electrical and Electoronic Engineering, Tottori University
4th Author's Name Satoru Kishida
4th Author's Affiliation Department of Electrical and Electoronic Engineering, Tottori University
5th Author's Name Masumi Ishikawa
5th Author's Affiliation Faculty of Computer Science and System Engineering, Kyusyu Institute of Technology
Date 1996/7/24
Paper # NC96-28
Volume (vol) vol.96
Number (no) 178
Page pp.pp.-
#Pages 8
Date of Issue