Spectroscopy and Spectral Analysis, Volume. 42, Issue 9, 2947(2022)

A Classification Method of Coal and Gangue Based on XGBoost and Visible-Near Infrared Spectroscopy

Rui LI1、1;, Bo LI1、1; *;, Xue-wen WANG1、1;, Tao LIU1、1;, Lian-jie LI1、1; 2;, and Shu-xiang FAN2、2;
Author Affiliations
  • 11. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China
  • 22. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing 100097, China
  • show less
    References(7)

    [2] Liu C, Zhang N[D]. Scientific Reports, 8, 190(2018).

    [4] Hu R, Wang S H, Zhao Y et al[D]. Chinese Journal of Analytical Chemistry, 47, E19034(2019).

    [7] Ge S, Wang S, Yang E et al[D]. Journal of Spectroscopy, 2018, 2754908(2018).

    [8] Le B T, Mao Y, Xiao D et al[D]. Optics and Laser Technology, 114, 10(2019).

    [9] Li H, Sun X, Xiao D[D]. ACS Omega, 5, 25772(2020).

    [10] Hu F, Yan P, Zhou M et al[D]. IEEE Access, 7, 169697(2019).

    [11] Chen T, Guestrin C[D]. XGBoost: A Scalable Tree Boosting System. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 785(2016).

    Tools

    Get Citation

    Copy Citation Text

    Rui LI, Bo LI, Xue-wen WANG, Tao LIU, Lian-jie LI, Shu-xiang FAN. A Classification Method of Coal and Gangue Based on XGBoost and Visible-Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(9): 2947

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Research Articles

    Received: Oct. 19, 2021

    Accepted: Apr. 4, 2022

    Published Online: Nov. 17, 2022

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2022)09-2947-09

    Topics