| Presentation | 2010-12-13 A Global Optimization Method on DT-CNN Using Chaotic Noise by CA Tomohiro FUJITA, Takeshi OGURA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A global optimization with Discrete Time Cellular Neural Network (DT-CNN) is studied: To achieve a global optimization, we propose an annealing method with chaotic noise generated by Cellular Automaton (CA). The experimental results show that under some condition the annealing performance with our noise shows high solving ability. This phenomena occurs when the input level is low, and in this case the output image tends to show the regularity of the pattern. On the other hand, when the input level is high, this regularity is broken, and the annealing performance degrades. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cellular Neural Network / Annealing / Cellular Automaton / Chaos |
| Paper # | NLP2010-118 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 2010/12/6(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) | A Global Optimization Method on DT-CNN Using Chaotic Noise by CA |
| Sub Title (in English) | |
| Keyword(1) | Cellular Neural Network |
| Keyword(2) | Annealing |
| Keyword(3) | Cellular Automaton |
| Keyword(4) | Chaos |
| 1st Author's Name | Tomohiro FUJITA |
| 1st Author's Affiliation | Department of VLSI System Design, Ritsumeikan University() |
| 2nd Author's Name | Takeshi OGURA |
| 2nd Author's Affiliation | Department of VLSI System Design, Ritsumeikan University |
| Date | 2010-12-13 |
| Paper # | NLP2010-118 |
| Volume (vol) | vol.110 |
| Number (no) | 335 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |