• Laser & Optoelectronics Progress
  • Vol. 57, Issue 19, 193002 (2020)
Lijian Pan, Weifang Chen*, Rongfang Cui, and Miaomiao Li
Author Affiliations
  • College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210001, China
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    DOI: 10.3788/LOP57.193002 Cite this Article Set citation alerts
    Lijian Pan, Weifang Chen, Rongfang Cui, Miaomiao Li. Quantitative Analysis of Aluminum Alloy Based on Laser-Induced Breakdown Spectroscopy and Radial Basis Function Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(19): 193002 Copy Citation Text show less
    References

    [1] Gao A J, Wang G, Qu X L et al. The research on impurities separating and sorting technology in the pretreatment process of the aluminum scrap recycling[J]. Recyclable Resources and Circular Economy, 8, 33-36(2015).

    [2] Qiu H O, Zheng H T, Tang Z Y. Analysis of rocks and minerals[J]. Chinese Journal of Analysis Laboratory, 33, 1349-1364(2014).

    [3] Chen N, Liu Y X, Du S Z et al. Research progress in applications of nanosecond and femtosecond laser-induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 53, 050003(2016).

    [4] 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).

    [5] Hu Y, Li Z H, Lü T. Quantitative measurement of iron content in geological standard samples by laser-induced breakdown spectroscopy combined with artificial neural network[J]. Laser & Optoelectronics Progress, 54, 053003(2017).

    [6] 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).

    [7] 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).

    [8] Kotzagianni M, Kakkava E, Couris S. Laser-induced breakdown spectroscopy (LIBS) for the measurement of spatial structures and fuel distribution in flames[J]. Applied Spectroscopy, 70, 627-634(2016).

    [9] Yaroshchyk P, Death D L, Spencer S J. Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS[J]. Journal of Analytical Atomic Spectrometry, 27, 92-98(2012).

    [10] Yu Y, Zhao N J, Wang Y et al. Research on univariate and multiple linear regression calibration methods by laser induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 52, 093001(2015).

    [11] Li Y S, Lu W Y, Zhao J B et al. Detection of caloric value of coal using laser-induced breakdown spectroscopy combined with BP neural networks[J]. Spectroscopy and Spectral Analysis, 37, 2575-2579(2017).

    [12] Sun L X, Yu H B, Cong Z B et al. Quantitative analysis of Mn and Si of steels by laser-induced breakdown spectroscopy combined with neural networks[J]. Acta Optica Sinica, 30, 2757-2765(2010).

    [13] Gu Y H, Zhao N J, Ma M J et al. Quantitative analysis of Cr in soils using LIBS with principal components regression[J]. Journal of Optoelectronics·Laser, 27, 748-753(2016).

    [14] Han X H, Zhang Y H, Sun F J et al. Method for determining index weight based on principal component analysis[J]. Journal of Sichuan Ordnance, 33, 124-126(2012).

    [15] Qiao J F, Han H G. Optimal structure design for RBFNN structure[J]. Acta Automatica Sinica, 36, 865-872(2010).

    Lijian Pan, Weifang Chen, Rongfang Cui, Miaomiao Li. Quantitative Analysis of Aluminum Alloy Based on Laser-Induced Breakdown Spectroscopy and Radial Basis Function Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(19): 193002
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