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Noise sensitivity of physical reservoir computing in a ring array of atomic switches
Title: | Noise sensitivity of physical reservoir computing in a ring array of atomic switches |
Authors: | Kubota, Hiroshi Browse this author | Hasegawa, Tsuyoshi Browse this author | Akai-Kasaya, Megumi Browse this author →KAKEN DB | Asai, Tetsuya Browse this author →KAKEN DB |
Keywords: | atomic switch | neural networks | physical reservoir computing | delayed feedback reservoir computing |
Issue Date: | 2022 |
Publisher: | IEICE - Institute of the Electronics, Information and Communication Engineers |
Journal Title: | Nonlinear theory and its applications, IEICE |
Volume: | 13 |
Issue: | 2 |
Start Page: | 373 |
End Page: | 378 |
Publisher DOI: | 10.1587/nolta.13.373 |
Abstract: | Reservoir computing (RC) is possible using physical systems. We have previously proposed an RC for ideal atomic switches. When temporal current fluctuations (noise) from the measurement of actual atomic switches are introduced into the proposed RC, performance degrades significantly. To address this issue, we propose novel methods for increasing the operating current range and observing the atomic switch several times to determine the average noise. Consequently, the memory capacity of the RC model increased, despite the presence of noise. To improve the precision of RC, we investigated the capacity and showed that changing the time constant of atomic switches results in an improvement. |
Rights: | Copyright ©2022 The Institute of Electronics, Information and Communication Engineers |
Type: | article |
URI: | http://hdl.handle.net/2115/85562 |
Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 浅井 哲也
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