Presentation 2006-01-25
Performance of Chaotic Switching Noise Injected to Hopfield Neural Network
Yoshifumi TADA, Yoko UWATE, Yoshifumi NISHIO,
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Abstract(in English) Solving combinatorial optimzation problems is one of the important applications of the neural network. Many researchers have reported that exploiting chaos achieves good solving ability. However, the reason of the good effect of chaos has not been clarified completely. In this study, we investigate a performance of chaotic switching noise injected to the Hopfield neural network for quadratic assignment problems. By computer simulation we confirm that the chaotic switching noise of effective for solving quadratic assignment problems as well as the intermittent chaos near three-periodic window.
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Keyword(in English) chaos / combinatorial optimzation problems / Hopfield NN
Paper # NLP2005-133
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Conference Information
Committee NLP
Conference Date 2006/1/18(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Performance of Chaotic Switching Noise Injected to Hopfield Neural Network
Sub Title (in English)
Keyword(1) chaos
Keyword(2) combinatorial optimzation problems
Keyword(3) Hopfield NN
1st Author's Name Yoshifumi TADA
1st Author's Affiliation Faculty of Engineering, Tokushima University()
2nd Author's Name Yoko UWATE
2nd Author's Affiliation Faculty of Engineering, Tokushima University
3rd Author's Name Yoshifumi NISHIO
3rd Author's Affiliation Faculty of Engineering, Tokushima University
Date 2006-01-25
Paper # NLP2005-133
Volume (vol) vol.105
Number (no) 548
Page pp.pp.-
#Pages 4
Date of Issue