HUSCAP logo Hokkaido Univ. logo

Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >

Noise sensitivity of physical reservoir computing in a ring array of atomic switches

Files in This Item:
13_373.pdf3.13 MBPDFView/Open
Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/85562

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)

Submitter: 浅井 哲也

Export metadata:

OAI-PMH ( junii2 , jpcoar_1.0 )

MathJax is now OFF:


 

 - Hokkaido University