| Presentation | 2001/5/18 Implementation for autonomous cooperaive motion by the recurrent neural networks using Moderatism Reiko Toda, Yoichi Okabe, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A novel learning rule is proposed to adapt an appropriate evaluation of the Recurrent Neural Network system controlled by Moderatism. This leatning rule uses dynamic correlation between two contiguous nerons. The system composed of some neuron oscillators behave appropriately owing to cooperation of neuron oscillators. This learning rule is verifed through computer simulation and experiments using a snaking robot with mutiple joints. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Recurrent Neural Networks / Osciliation / Cooperaion Moderatism |
| Paper # | NC2001-1 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2001/5/18(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) | Implementation for autonomous cooperaive motion by the recurrent neural networks using Moderatism |
| Sub Title (in English) | |
| Keyword(1) | Recurrent Neural Networks |
| Keyword(2) | Osciliation |
| Keyword(3) | Cooperaion Moderatism |
| 1st Author's Name | Reiko Toda |
| 1st Author's Affiliation | Research Center for Advance Science and Technology, University of Tokyo() |
| 2nd Author's Name | Yoichi Okabe |
| 2nd Author's Affiliation | Research Center for Advance Science and Technology, University of Tokyo |
| Date | 2001/5/18 |
| Paper # | NC2001-1 |
| Volume (vol) | vol.101 |
| Number (no) | 94 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |