Quantitative Relationship Between Data Dimensionality and Information Processing Capability Revealed via Principal Component Analysis for Non-Linear Current Waveforms With Non-Ideality Derived From Ionic Liquid-Based Physical Reservoir Device

Quantitative Relationship Between Data Dimensionality and Information Processing Capability Revealed via Principal Component Analysis for Non-Linear Current Waveforms With Non-Ideality Derived From Ionic Liquid-Based Physical Reservoir Device

Physical reservoir computing (PRC) is attracting considerable attention as a low-power, high-performance, edge artificial intelligence-friendly information technology. A physical reservoir device (PRD), which is key to PRC, converts input signals into higher-dimensional signals. In this study, we pe...

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Bibliographic Details
Main Authors: Yuki Kubo, Masaharu Yonezawa, Hisashi Shima, Yasuhisa Naitoh, Hiroyuki Akinaga, Toshiki Nokami, Toshiyuki Itoh, Kentaro Kinoshita
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Reservoir computing
ionic liquid
electrochemical reaction
faradaic current
principal component analysis
Online Access:https://ieeexplore.ieee.org/document/10706246/

Internet

https://ieeexplore.ieee.org/document/10706246/

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