| Presentation | 2003/3/10 Interactive Learning of Motions Based on H_∞-Learning : In the case of two-dimentional trajectories Kiyoshi NISIYAMA, Koushi OCHISAI, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The interactive learning of motions will be very important for extracting their skills from craftsmen. However, the conventional learnings including the back-propagation (BP) are unsuitable to the interactive learning because the teaching data always has a considerably large degree of uncertainty in training. This paper shows by computer simulations that the H_∞-learning, which has been proposedby one of authors, is effective for such an interactive learning of motions. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | motion learning / interactive learning / robust learning / H_∞-learning / H_2-learning / TDNN |
| Paper # | NC2002-144 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/3/10(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Interactive Learning of Motions Based on H_∞-Learning : In the case of two-dimentional trajectories |
| Sub Title (in English) | |
| Keyword(1) | motion learning |
| Keyword(2) | interactive learning |
| Keyword(3) | robust learning |
| Keyword(4) | H_∞-learning |
| Keyword(5) | H_2-learning |
| Keyword(6) | TDNN |
| 1st Author's Name | Kiyoshi NISIYAMA |
| 1st Author's Affiliation | Department of Computer and Information Science, Iwate University() |
| 2nd Author's Name | Koushi OCHISAI |
| 2nd Author's Affiliation | Department of Computer and Information Science, Iwate University |
| Date | 2003/3/10 |
| Paper # | NC2002-144 |
| Volume (vol) | vol.102 |
| Number (no) | 729 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |