Presentation 1999/10/21
Cellular Neural Networks with Hysterisis cell
Michihiro NAMBA, Hiroaki KAWABATA, Akihiro KANAGAWA, Zhong ZHANG,
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Abstract(in English) Cellular Neural Network which is one of cross-coupled neural networks is applied to pattern recognition. In this paper, we describe the variety of association characteristic which appear by using hysterisis cell. 9×9 matrix CNN was used in the simulation of Chinese character pattern recognition, and we recognized the effectiveness of avoidance from the unstable state, and the reduction of association time.
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Keyword(in English) Cellular Neural Network(CNN) / Hysterisis cell / Autoassociation / Pattern Recognition
Paper # NC99-42
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Committee NC
Conference Date 1999/10/21(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Cellular Neural Networks with Hysterisis cell
Sub Title (in English)
Keyword(1) Cellular Neural Network(CNN)
Keyword(2) Hysterisis cell
Keyword(3) Autoassociation
Keyword(4) Pattern Recognition
1st Author's Name Michihiro NAMBA
1st Author's Affiliation Faculty of computer science and system engineering, Okayama Prefectural university()
2nd Author's Name Hiroaki KAWABATA
2nd Author's Affiliation Faculty of computer science and system engineering, Okayama Prefectural university
3rd Author's Name Akihiro KANAGAWA
3rd Author's Affiliation Faculty of computer science and system engineering, Okayama Prefectural university
4th Author's Name Zhong ZHANG
4th Author's Affiliation Industrial technology center of Okayama Prefecture
Date 1999/10/21
Paper # NC99-42
Volume (vol) vol.99
Number (no) 382
Page pp.pp.-
#Pages 7
Date of Issue