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Simple Reservoir Computing Capitalizing on the Nonlinear Response of Materials: Theory and Physical Implementations

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/81417

Title: Simple Reservoir Computing Capitalizing on the Nonlinear Response of Materials: Theory and Physical Implementations
Authors: Kan, Shaohua Browse this author
Nakajima, Kohei Browse this author
Takeshima, Yuki Browse this author
Asai, Tetsuya Browse this author →KAKEN DB
Kuwahara, Yuji Browse this author →KAKEN DB
Akai-Kasaya, Megumi Browse this author →KAKEN DB
Issue Date: 12-Feb-2021
Publisher: American Physical Society (APS)
Journal Title: Physical review applied
Volume: 15
Issue: 2
Start Page: 024030
Publisher DOI: 10.1103/PhysRevApplied.15.024030
Abstract: The potential of nonlinear dynamical systems serving as reservoirs has attracted much attention for the physical realization of reservoir computing (RC). Here, we propose a hardware system working as a reservoir with one simple form of nonlinearity that reflects the intrinsic characteristics of the materials. We show that insufficient dynamics in such physical systems can perform like complex dynamical systems with the assistance of external controls. Based on the idea of spatial multiplexing, this dynamical system is studied under two frameworks. The correlation between structural adjustments of the reservoir and system performance in processing various types of task is proposed. Our results are expected to enable the development of material-based devices for RC.
Rights: ©2021 American Physical Society
Type: article
URI: http://hdl.handle.net/2115/81417
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: 赤井 恵

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