Acta Optica Sinica, Volume. 44, Issue 21, 2114002(2024)

Neural Network Learning for Chaotic Oscillations in Semiconductor Lasers Driven by Complex Signals

Xiaoqi Fan1,2, Xiaoxin Mao1,2, and Anbang Wang3,4,5、*
Author Affiliations
  • 1Key Lab of Advanced Transducers and Intelligent Control, Ministry of Education, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 2College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Taiyuan 030024, Shanxi , China
  • 3Key Lab of Photonic Technology for Integrated Sensing and Communication, Ministry of Education, Guangdong University of Technology, Guangzhou 510006, Guangdong , China
  • 4Guangdong Provincial Key Lab of Photonics Information Technology, Guangdong University of Technology, Guangzhou 510006, Guangdong , China
  • 5Institute of Advanced Photonics Technology, School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, Guangdong , China
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    References(32)

    [12] Liu J Y, Zhang J G, Li C Y et al. Secure communication via laser chaos synchronization based on reservoir computing[J]. Chinese Journal of Lasers, 49, 1806001(2022).

    [16] Cichocki A, Unbehauen R[M]. Neural networks for optimization and signal processing(1993).

    [27] Osogami T, Kajino H, Sekiyama T. Bidirectional learning for time-series models with hidden units[C]. 11(2017).

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    Xiaoqi Fan, Xiaoxin Mao, Anbang Wang. Neural Network Learning for Chaotic Oscillations in Semiconductor Lasers Driven by Complex Signals[J]. Acta Optica Sinica, 2024, 44(21): 2114002

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    Paper Information

    Category: Lasers and Laser Optics

    Received: Apr. 29, 2024

    Accepted: Jul. 8, 2024

    Published Online: Nov. 20, 2024

    The Author Email: Wang Anbang (abwang@gdut.edu.cn)

    DOI:10.3788/AOS240942

    CSTR:32393.14.AOS240942

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