Research on Selection Method of LIBS Feature Variables Based on CART Regression Tree

Wen YOU; Yang-peng XIA; Yu-tao HUANG; Jing-jun LIN; Xiao-mei LIN

doi:10.3964/j.issn.1000-0593(2021)10-3240-05

Spectroscopy and Spectral Analysis, Volume. 41, Issue 10, 3240(2021)

Research on Selection Method of LIBS Feature Variables Based on CART Regression Tree

Wen YOU^1、*, Yang-peng XIA^1、1;, Yu-tao HUANG^1、1;, Jing-jun LIN^{2、2; *;}, and Xiao-mei LIN^{3、3; *;}

Author Affiliations

¹1. Department of Electronics and Electrical Engineering, Changchun University of Technology, Changchun 130012, China

²2. Department of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China

³3. Jilin University of Architecture and Technology, Changchun 130012, China

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References(6)

[1] B Guo L, M Li J, H Zhu Z et al. Optics Express, 26, 2634(2018).

[4] Jaepil Lee, Youngmin Moon, Sungho Shin. Plasma Science and Technology, 21, 34011(2019).

[8] G Bilge, H Boyaci I, B Sezer et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 145, 115(2018).

[9] M Jun H, H Kim J, H Lee S et al. Energy, 160, 225(2018).

[14] Liang Gao, Chen Sun, Ye Tian et al. Scientific Reports, 9, 11363(2019).

[15] F Ma et al. Journal of Analytical Atomic Spectrometry, 35, 478(2020).

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Wen YOU, Yang-peng XIA, Yu-tao HUANG, Jing-jun LIN, Xiao-mei LIN. Research on Selection Method of LIBS Feature Variables Based on CART Regression Tree[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3240

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Paper Information

Category: Research Articles

Received: Oct. 10, 2020

Accepted: --

Published Online: Oct. 29, 2021

The Author Email: YOU Wen (youwen@ccut.edu.cn)

DOI:10.3964/j.issn.1000-0593(2021)10-3240-05

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology