| Presentation | 1998/3/12 Learning of Meta-Symbol Sequences : An Approach for Pattern and Symbol from Memory-Based Model Tadashi Ae, Hiroyuki Araki, Yuichiro Hikasa, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have proposed a two-level architecture for brain computing, where two levels are introduced for processing of meta-symbol. At Level 1 a conventional pattern recognition is performed, where neural computation is included, and its output gives the meta-symbol which is a symbol enlarged from a symbol to a kind of pattern. At Level 2 an algorithm acquisition is made by using a state machine for abstract states(which is a meta-symbol expression). To develop a two-level architecture for brain computing, we explain a learning algorithm AST newly proposed for meta-symbol sequences. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Brain Computing / Neural Computation / Learning |
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| Committee | PRMU |
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| Conference Date | 1998/3/12(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Learning of Meta-Symbol Sequences : An Approach for Pattern and Symbol from Memory-Based Model |
| Sub Title (in English) | |
| Keyword(1) | Brain Computing |
| Keyword(2) | Neural Computation |
| Keyword(3) | Learning |
| 1st Author's Name | Tadashi Ae |
| 1st Author's Affiliation | Electrical Engineering, Faculty of Engineering, Hiroshima University() |
| 2nd Author's Name | Hiroyuki Araki |
| 2nd Author's Affiliation | Electrical Engineering, Faculty of Engineering, Hiroshima University |
| 3rd Author's Name | Yuichiro Hikasa |
| 3rd Author's Affiliation | Electrical Engineering, Faculty of Engineering, Hiroshima University |
| Date | 1998/3/12 |
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| Volume (vol) | vol.97 |
| Number (no) | 595 |
| Page | pp.pp.- |
| #Pages | 8 |
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