Laser & Optoelectronics Progress, Volume. 61, Issue 17, 1730001(2024)

Rapid Identification of Homogeneous Alloys Based on Laser-Induced Breakdown Spectroscopy Combined with Machine-Learning Algorithms

Wanxue Li1、*, Yaxiong He2, Yang Li3, Feinan Cai4, and Yong Zhang2
Author Affiliations
  • 1College of Physics and Engineering Technology, Chengdu Normal University, Chengdu 611130, Sichuan, China
  • 2School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, Sichuan, China
  • 3Shandong Institute of Geology and Mineral Resources Exploration, Yantai 264011, Shandong, China
  • 4State Grid Sichuan Power Company Chengdu Power Supply Company, Chengdu 610041, Sichuan, China
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    References(27)

    [13] Guo M, Huang Z Y, Wang J et al. Origin identification of three kinds of dry-cured ham based on laser-induced breakdown spectroscopy technology combined with machine learning algorithm[J]. Journal of Chinese Institute of Food Science and Technology, 22, 279-285(2022).

    [15] Bai K J, Dong M R, Shang Z H et al. Evaluation of metal aging grade based on characteristic spectral line ratio and time resolved laser-induced breakdown spectroscopy[J]. Metallurgical Analysis, 43, 29-36(2023).

    [22] Zhou Z H[M]. Machine learning, 229-231(2016).

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    Wanxue Li, Yaxiong He, Yang Li, Feinan Cai, Yong Zhang. Rapid Identification of Homogeneous Alloys Based on Laser-Induced Breakdown Spectroscopy Combined with Machine-Learning Algorithms[J]. Laser & Optoelectronics Progress, 2024, 61(17): 1730001

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    Paper Information

    Category: Spectroscopy

    Received: Nov. 1, 2023

    Accepted: Jan. 29, 2024

    Published Online: Sep. 14, 2024

    The Author Email: Wanxue Li (071065@cdnu.edu.cn)

    DOI:10.3788/LOP232417

    CSTR:32186.14.LOP232417

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