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

Rui LI; Bo LI; Xue-wen WANG; Tao LIU; Lian-jie LI; Shu-xiang FAN

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

Journals >Spectroscopy and Spectral Analysis >Volume 42 >Issue 9 >Page 2947 > Article

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

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

Rui LI^1、1;, Bo LI^{1、1; *;}, Xue-wen WANG^1、1;, Tao LIU^1、1;, Lian-jie LI^{1、1; 2;}, and Shu-xiang FAN^2、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

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

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 Copy Citation Text

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References

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

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

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

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

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

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

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

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