Yue, Yuanli, Liu, Shouju, Zhai, Yanrong, Wang, Chao (2022) Enhanced photonic time-stretch reservoir computing using all-optical input masks. In: 2022 IEEE Photonics Conference (IPC). IEEE Photonics Conference (IPC) . pp. 1-2. IEEE E-ISBN 978-1-6654-3487-4. (doi:10.1109/ipc53466.2022.9975723) (KAR id:99303)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/419kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1109/ipc53466.2022.9975723 |
Abstract
Input masks are essential in reservoir computing to enhance performance. Here we report a novel all-optical masking scheme for photonics time-stretch reservoir computing based on optical spectral filtering. This approach overcomes the electronic bottleneck in digital temporal masking and offers better performance in classification tasks.
Item Type: | Conference or workshop item (Proceeding) |
---|---|
DOI/Identification number: | 10.1109/ipc53466.2022.9975723 |
Additional information: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Funders: | Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 13 Jan 2023 16:09 UTC |
Last Modified: | 05 Nov 2024 13:04 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/99303 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):