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| Presentation | 2022-05-27 15:50 Study on semiconductor-based nonlinear dynamic node for physical reservoir computing system Seiya Kasai, Shunsuke Saito (Hokkaido Univ.)  ED2022-12 CPM2022-6 SDM2022-19 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Reservoir computing is a framework of the neural network-based machine learning for time series. In this system, design and control of the network is not necessary, furthermore, the variation of the elements in the network can enhance the computing performance, which allows to use various materials and devices for physical implementation. On the other hand, semiconductor electronics has been seldomly considered for the reservoir computing, although it is the most feasible way not only for practical use but also for ideal physical platform. In this report, for the implementation of the physical reservoir computing system, we investigate the network node using semiconductor tunnel diodes that has spontaneous oscillation dynamics and their connection to modulate the dynamics. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Reservoir Computing / Semiconductor / Nonlinear / Tunnel Diode / Oscillator Node / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 52, ED2022-12, pp. 21-24, May 2022. | |
| Paper # | ED2022-12 | |
| Date of Issue | 2022-05-20 (ED, CPM, SDM) | |
| 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 | ED2022-12 CPM2022-6 SDM2022-19 |
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| Conference Information | |
| Committee | SDM ED CPM |
| Conference Date | 2022-05-27 - 2022-05-27 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Functional Device Materials, Fabrication, Characterization, and Related Technology |
| Paper Information | |
| Registration To | ED |
| Conference Code | 2022-05-SDM-ED-CPM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on semiconductor-based nonlinear dynamic node for physical reservoir computing system |
| Sub Title (in English) | |
| Keyword(1) | Reservoir Computing |
| Keyword(2) | Semiconductor |
| Keyword(3) | Nonlinear |
| Keyword(4) | Tunnel Diode |
| Keyword(5) | Oscillator Node |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Seiya Kasai |
| 1st Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name | Shunsuke Saito |
| 2nd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-05-27 15:50:00 |
| Presentation Time | 25 minutes |
| Registration for | ED |
| Paper # | ED2022-12, CPM2022-6, SDM2022-19 |
| Volume (vol) | vol.122 |
| Number (no) | no.52(ED), no.53(CPM), no.54(SDM) |
| Page | pp.21-24 |
| #Pages | 4 |
| Date of Issue | 2022-05-20 (ED, CPM, SDM) |
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