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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chaos / combinatorial optimzation problems / Hopfield NN |
Paper # | NLP2005-133 |
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Committee | NLP |
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Conference Date | 2006/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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