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

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

Wen YOU1、*, Yang-peng XIA1、1;, Yu-tao HUANG1、1;, Jing-jun LIN2、2; *;, and Xiao-mei LIN3、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
  • show less
    Figures & Tables(7)
    Schematic diagram of experimental device
    Single variable calibration curve of CaⅡ 393.366 nm
    Partial least squares regression calibration curve
    The importance distribution of feature variables
    CART regression tree calibration curve
    • Table 1. The concentration of Ca in standard samples

      View table
      View in Article

      Table 1. The concentration of Ca in standard samples

      Sample numberConcentration of Ca/Wt%
      1#0.02
      2#0.05
      3#0.08
      4#0.1
      5#0.15
      6#0.2
      7#0.25
    • Table 2. Comparison of calibration model parameters

      View table
      View in Article

      Table 2. Comparison of calibration model parameters

      模型R2RMSEC
      /Wt%
      RMSEP
      /Wt%
      ARE
      /%
      单变量0.933 20.019 20.017 711.604
      PLSR0.975 30.010 80.013 07.490
      CART回归树0.997 50.003 50.006 12.500
    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    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