Acta Optica Sinica, Volume. 44, Issue 11, 1130003(2024)

Quantitative Analysis of CO2 Infrared Absorption Spectrum Based on Improved Particle Swarm Optimization-Back Propagation Neural Network

Xuyang Wu1, Gangyun Guan1, Zhiwei Liu2, Bingjie Zhu1, Zixun Geng1, Chuantao Zheng1、*, Guofeng Yan2、**, Yu Zhang1, and Yiding Wang1
Author Affiliations
  • 1State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, Jilin, China
  • 2Research Center for Optical Fiber Sensing, Zhejiang Laboratory, Hangzhou 311100, Zhejiang, China
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    References(24)

    [8] Huang Q, Wang Q, Wang K T et al. Research on indoor CO2 online monitoring based on open-path tunable diode laser absorption spectroscopy[J]. Laser & Optoelectronics Progress, 61, 0530004(2024).

    [16] Du C, Zhang B, Zhao S et al. Ultrasensitive methane volume fraction sensor based on long period fiber grating and back-propagation neural network[J]. Laser & Optoelectronics Progress, 60, 0706009(2023).

    [21] Wen C B, Ru F[M]. Artificial neural network theory and its applications(2019).

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    Xuyang Wu, Gangyun Guan, Zhiwei Liu, Bingjie Zhu, Zixun Geng, Chuantao Zheng, Guofeng Yan, Yu Zhang, Yiding Wang. Quantitative Analysis of CO2 Infrared Absorption Spectrum Based on Improved Particle Swarm Optimization-Back Propagation Neural Network[J]. Acta Optica Sinica, 2024, 44(11): 1130003

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    Paper Information

    Category: Spectroscopy

    Received: Jan. 2, 2024

    Accepted: Mar. 14, 2024

    Published Online: May. 28, 2024

    The Author Email: Zheng Chuantao (zhengchuantao@jlu.edu.cn), Yan Guofeng (yanguofeng@zhejianglab.com)

    DOI:10.3788/AOS232020

    CSTR:32393.14.AOS232020

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