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Photonics Research, Volume. 10, Issue 8, 1868(2022)

Generalized robust training scheme using genetic algorithm for optical neural networks with imprecise components

Rui Shao1, Gong Zhang1,2、*, and Xiao Gong1,3、*
Author Affiliations
  • 1Department of Electrical & Computer Engineering, National University of Singapore, Singapore, Singapore
  • 2e-mail: zhanggong@nus.edu.sg
  • 3e-mail: elegong@nus.edu.sg
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    Article index updated: Feb. 26, 2025

    Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.
    The article is cited by 23 article(s) from Web of Science.
    The article is cited by 3 article(s) CLP online library. (Some content might be in Chinese.)
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    Rui Shao, Gong Zhang, Xiao Gong, "Generalized robust training scheme using genetic algorithm for optical neural networks with imprecise components," Photonics Res. 10, 1868 (2022)

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    Paper Information

    Category: Instrumentation and Measurements

    Received: Dec. 3, 2021

    Accepted: Mar. 18, 2022

    Published Online: Jul. 21, 2022

    The Author Email: Gong Zhang (zhanggong@nus.edu.sg), Xiao Gong (elegong@nus.edu.sg)

    DOI:10.1364/PRJ.449570

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology