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| Presentation | 2021-06-11 15:20 Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki (TDK), Tetsuya Asai (Hokkaido Univ.)  NLP2021-10 CCS2021-10 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanical Systems) Resonator-type Reservoir Computing. It is required for MEMS reservoirs to tune the balance of linear and nonlinear characteristics and to control their nonlinear behaviors depending on an external input, such as chaos and hysteresis. In our study, we focus on pre-training for machine learning called IP (Intrinsic Plasticity) learning, and apply it to controlling stochastic behaviors of MEMS reservoirs. First, we demonstrate simulation results on chaos suppression. Next, we show that our approach can improve prediction accuracy as compared to the conventional one. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Reservoir Computing / MEMS Resonator Array / Mutual Information Criteria / IP Learning / Chaos / Hysteresis / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 62, CCS2021-10, pp. 45-50, June 2021. | |
| Paper # | CCS2021-10 | |
| Date of Issue | 2021-06-04 (NLP, CCS) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NLP2021-10 CCS2021-10 |
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| Conference Information | |
| Committee | NLP CCS |
| Conference Date | 2021-06-11 - 2021-06-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CCS |
| Conference Code | 2021-06-NLP-CCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria |
| Sub Title (in English) | |
| Keyword(1) | Reservoir Computing |
| Keyword(2) | MEMS Resonator Array |
| Keyword(3) | Mutual Information Criteria |
| Keyword(4) | IP Learning |
| Keyword(5) | Chaos |
| Keyword(6) | Hysteresis |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazuki Nakada |
| 1st Author's Affiliation | TDK Corporation (TDK) |
| 2nd Author's Name | Shunya Suzuki |
| 2nd Author's Affiliation | TDK Corporation (TDK) |
| 3rd Author's Name | Eiji Suzuki |
| 3rd Author's Affiliation | TDK Corporation (TDK) |
| 4th Author's Name | Yukio Terasaki |
| 4th Author's Affiliation | TDK Corporation (TDK) |
| 5th Author's Name | Tomoyuki Sasaki |
| 5th Author's Affiliation | TDK Corporation (TDK) |
| 6th Author's Name | Tetsuya Asai |
| 6th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-06-11 15:20:00 |
| Presentation Time | 25 minutes |
| Registration for | CCS |
| Paper # | NLP2021-10, CCS2021-10 |
| Volume (vol) | vol.121 |
| Number (no) | no.61(NLP), no.62(CCS) |
| Page | pp.45-50 |
| #Pages | 6 |
| Date of Issue | 2021-06-04 (NLP, CCS) |
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