| Presentation | 2015-01-29 Stability of mixed rule cellular automata Ryo SAWAYAMA, Toshimichi SAITO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper studies the cellular automata with mixed rules (MCA). The mixed rule consists of two special rules of the elementary cellular automata (ECA) which have no transient state for all steady states. First, we analyze the rules of ECA which have no transient state for all steady states. Second, we present a learning algorithm that tries to optimize the combination of those rules to enlarge transient states for steady states. Performing basic numerical experiments, we analyze the steady states and transient states in the learning process by using the digital return map. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cellular Automata / Genetic Algorithm / Return Map |
| Paper # | NC2014-57 |
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| Committee | NC |
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| Conference Date | 2015/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Stability of mixed rule cellular automata |
| Sub Title (in English) | |
| Keyword(1) | Cellular Automata |
| Keyword(2) | Genetic Algorithm |
| Keyword(3) | Return Map |
| 1st Author's Name | Ryo SAWAYAMA |
| 1st Author's Affiliation | EE Dept., Hosei University() |
| 2nd Author's Name | Toshimichi SAITO |
| 2nd Author's Affiliation | EE Dept., Hosei University |
| Date | 2015-01-29 |
| Paper # | NC2014-57 |
| Volume (vol) | vol.114 |
| Number (no) | 437 |
| Page | pp.pp.- |
| #Pages | 6 |
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