| Presentation | 2007-01-17 Effective Search with Hopping Chaos for Hopfield Neural Network Solving QAP Yoshifumi TADA, Yoko UWATE, Yoshifumi NISHIO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The neural network is important for solving combinatorial optimization problem. In our past study, we solved Quadratic Assignment Problem by Hopfield neural network with each noise. Sometimes even if the noise injected to Hopfield Neural Network, the solution can not local minimum. Therefore the network often can not find many solutions. In this study, we investigate effective search with hopping chaos for Hopfield Neural Networks solving combinatorial optimization problems. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hopping chaos / QAP / Hopfield NN |
| Paper # | NLP2006-113 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2007/1/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (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) | Effective Search with Hopping Chaos for Hopfield Neural Network Solving QAP |
| Sub Title (in English) | |
| Keyword(1) | Hopping chaos |
| Keyword(2) | QAP |
| 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 | 2007-01-17 |
| Paper # | NLP2006-113 |
| Volume (vol) | vol.106 |
| Number (no) | 451 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |