• Laser & Optoelectronics Progress
  • Vol. 57, Issue 5, 053002 (2020)
Youliang Yang, Lu Wang*, and Cuihong Ma
Author Affiliations
  • College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China
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    DOI: 10.3788/LOP57.053002 Cite this Article Set citation alerts
    Youliang Yang, Lu Wang, Cuihong Ma. Quantitative Analysis of Liquid Steel Element in LIBS Using SVR Improved by Particle Swarm Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(5): 053002 Copy Citation Text show less
    References

    [1] Cheri M S, Tavassoli S H. Quantitative analysis of toxic metals lead and cadmium in water jet by laser-induced breakdown spectroscopy[J]. Applied Optics, 50, 1227-1233(2011).

    [2] Lin Y Z, Yao M Y, Chen T B et al. Detection of Cu and Cr in the soil of navel orange plantation in Gannan by LIBS[J]. Laser & Optoelectronics Progress, 50, 053002(2013).

    [3] Li M, Zhu X Y, Xu Y et al. Quantitative determination of Cu in lake water by laser induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 50, 013001(2013).

    [4] Li C, Yao G X, Yang X Y et al. Key experimental parameter optimization for laser induced breakdown spectroscopy of liquid matrix[J]. Laser & Optoelectronics Progress, 56, 073002(2019).

    [5] Li J X, Yang Y L, Meng F W et al. Matrix correction method used for liquid steel online quantitative analysis by LIBS[J]. Laser & Optoelectronics Progress, 50, 031406(2013).

    [6] Feng W L, Wang F J, Zeng W Q et al. CCD spectrum measurement system for laser induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 50, 013002(2013).

    [7] Clegg S M, Sklute E, Dyar M D et al. Multivariate analysis of remote laser-induced breakdown spectroscopy spectra using partial least squares, principal component analysis, and related techniques[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 64, 79-88(2009).

    [8] Yang Y L, Wang P, Ma C H. Quantitative analysis of Mn element in liquid steel by LIBS based on particle swarm optimized support vector machine[J]. Laser & Optoelectronics Progress, 52, 073004(2015).

    [9] Gu Y H, Zhao N J, Ma M J et al. Quantitative analysis of Cr in soil with laser induced breakdown spectroscopy combined with multivariate calibration[J]. Spectroscopy and Spectral Analysis, 36, 1893-1898(2016).

    [10] Xu H M, Wang H Y, Liang J et al. Support vector machine regression algorithm and its application[J]. Journal of Beijing Institute of Petro-Chemical Technology, 18, 62-66(2010).

    [11] Chen G, Zhou J. Research on parameters and forecasting interval of support vector regression model to small sample[J]. Acta Metrologica Sinica, 29, 92-96(2008).

    [12] Guo S X, Wang Y F, Chen A. Prediction on huge database on the regression model of support vector machine[J]. Computer Engineering and Applications, 43, 12-14, 32(2007).

    [13] Chuang L Y, Tsai S W, Yang C H. Chaotic catfish particle swarm optimization for solving global numerical optimization problems[J]. Applied Mathematics and Computation, 217, 6900-6916(2011).

    [14] Yi W Z. Hybrid algorithm of chaotic catfish particle swarm optimization and differential evolution[J]. Computer Engineering and Applications, 48, 54-58, 87(2012).

    [15] Xiu J S, Liu S M, Wang K K et al. Analytical investigation of Cu(In, Ga)Se2 thin films using laser induced breakdown spectroscopy technology[J]. Chinese Journal of Lasers, 45, 1211002(2018).

    [16] Hu L, Zhao N J, Liu W Q et al. Quantitative analysis of Pb in water based on multivariate calibration with LIBS[J]. Acta Optica Sinica, 35, 0630001(2015).

    [17] Jia Y, Zhao N J, Liu W Q et al. Continuous online detection method of heavy metals in water based on LIBS technology[J]. Chinese Journal of Lasers, 45, 0611001(2018).

    [18] Bekefi G. Radiation processes in plasmas[M]. New York: Wiley(1966).

    Youliang Yang, Lu Wang, Cuihong Ma. Quantitative Analysis of Liquid Steel Element in LIBS Using SVR Improved by Particle Swarm Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(5): 053002
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