Acta Optica Sinica, Volume. 45, Issue 4, 0414001(2025)

Automatic Mode-Locked Fiber Laser Based on CNN Mode-Locking Image Classification Model

Dongdong Han*, Xiyang Wei, Ying Li, Tiantian Li, Kaili Ren, Yipeng Zheng, Lipeng Zhu, and Zhanqiang Hui
Author Affiliations
  • School of Electronic Engineering, Xi’an University of Posts and Telecommunications, Xi’an 710072, Shaanxi , China
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    References(42)

    [26] Luo Y H, Zhang J, Du S Y et al. Research progress in metamaterial design and fiber beam control based on deep learning[J]. Chinese Journal of Lasers, 50, 1101007(2023).

    [30] Luo C, Yi L L, Pu G Q. Intelligent technologies enhancing femtosecond lasers: characterization and control (invited)[J]. Laser & Optoelectronics Progress, 61, 0114006(2024).

    [31] Wu X Q, Peng J S, Zhang Y et al. Principles and research advances of intelligent mode-locked fiber lasers[J]. Chinese Journal of Lasers, 50, 1101006(2023).

    [32] Han D D, Fan Z Y, Ren K L et al. Automatic mode-locked fiber laser based on K-means algorithm[J]. Infrared and Laser Engineering, 52, 20220609(2023).

    [39] Zhang W X, Yang X H, Yang R Q et al. Investigation of automatically NPE mode-locking femtosecond laser frequency comb[J]. Vacuum and Cryogenics, 29, 570-576(2023).

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    Dongdong Han, Xiyang Wei, Ying Li, Tiantian Li, Kaili Ren, Yipeng Zheng, Lipeng Zhu, Zhanqiang Hui. Automatic Mode-Locked Fiber Laser Based on CNN Mode-Locking Image Classification Model[J]. Acta Optica Sinica, 2025, 45(4): 0414001

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Nov. 7, 2024

    Accepted: Dec. 16, 2024

    Published Online: Feb. 20, 2025

    The Author Email: Dongdong Han (handongdong@xupt.edu.cn)

    DOI:10.3788/AOS241724

    CSTR:32393.14.AOS241724

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