Presentation 2002/3/8
Solving Ability of Hopfield Neural Networks with Chaotic Noise and Burst Noise for QAP
Yoko UWATE, Yoshifumi NISHIO, Tetsushi UETA, Tohru KAWABE, Tohru IKEGUCHI,
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Abstract(in English) In this article, intermittent chaos noise near three-periodic window and burst noise generated by the Gilbert model are applied to the Hopfield neural network for quadratic assignment problem. By computer simulations we confirm that the burst noise generated by the Gilbert model is effective to solve the quadratic assignment problem and we can say that the existence of the laminar part and the burst part is one reason of the good performance of the Hopfield NN with chaos noise.
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Keyword(in English) QAP / neural network / chaos noise / burst noise
Paper # NLP2001-109
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Conference Information
Committee NLP
Conference Date 2002/3/8(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Solving Ability of Hopfield Neural Networks with Chaotic Noise and Burst Noise for QAP
Sub Title (in English)
Keyword(1) QAP
Keyword(2) neural network
Keyword(3) chaos noise
Keyword(4) burst noise
1st Author's Name Yoko UWATE
1st Author's Affiliation Dept. of Electrical and Electronic Eng., Tokushima University()
2nd Author's Name Yoshifumi NISHIO
2nd Author's Affiliation Dept. of Electrical and Electronic Eng., Tokushima University
3rd Author's Name Tetsushi UETA
3rd Author's Affiliation Dept. of Information Science and Intelligent Systems, Tokushima University
4th Author's Name Tohru KAWABE
4th Author's Affiliation Institute of Information Sciences and Electronics, University of Tsukuba
5th Author's Name Tohru IKEGUCHI
5th Author's Affiliation Dept. of Information and Computer Sciences, Saitama University
Date 2002/3/8
Paper # NLP2001-109
Volume (vol) vol.101
Number (no) 723
Page pp.pp.-
#Pages 6
Date of Issue