Presentation | 2008-02-01 Hopfield NN Using Scaling Law for Quadratic Assignment Problem Yoshifumi TADA, Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | If the scale of the combinatrial optimization problem becomes large, the problem can not be solved by method of searching all solutions. Hopfield Neural Network is one of the important tool of solving combinatorial optimization problem. However, the network finds a local minimum, and can not escape from there. Many researchers proposed the method adding some kinds of noises to the Hopfield Neural Network. In this study, we propose the injecting scaling law noise to Hopfield Neural Network for improvement of the ability. We investigate effective search with Hopfield Neural Network using scaling law for quadratic assignment problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Hopfield NN / Chaos noise / QAP / Scaling law |
Paper # | NLP2007-148 |
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Committee | NLP |
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Conference Date | 2008/1/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Hopfield NN Using Scaling Law for Quadratic Assignment Problem |
Sub Title (in English) | |
Keyword(1) | Hopfield NN |
Keyword(2) | Chaos noise |
Keyword(3) | QAP |
Keyword(4) | Scaling law |
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 | 2008-02-01 |
Paper # | NLP2007-148 |
Volume (vol) | vol.107 |
Number (no) | 478 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |