Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2443(2021)

Application of Various Algorithms for Spectral Variable Selection in NIRS Modeling of Red Ginseng Extraction

Bei CHEN1、*, En-rang ZHENG1、1; *;, and Tuo GUO2、2;
Author Affiliations
  • 11. School of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi’an 710021, China
  • 22. School of Electronic Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi’an 710021, China
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    References(8)

    [1] Choi S W, Lee G J, Park H H et al[D]. Journal of Ginseng Research, 43, 86(2019).

    [5] Akkaya M R[D]. Journal of Food Science and Technology, 55, 2318(2018).

    [6] Gallo L, Grafia A, Razuc M et al[D]. Drug Development & Industrial Pharmacy, 45, 1(2019).

    [11] Li H D, Liang Y Z, Xu Q S et al[D]. Analytica Chimica Acta, 648, 77(2009).

    [12] Centner V, De Noord O E, Massart D L[D]. Analytical Chemistry, 68, 3851(1996).

    [13] Rivard B, Rogge D M, Zhang J K[D]. Sensors, 8, 1321(2008).

    [14] Eusuff M M, Lansey K E[D]. Journal of Water Resources Planning and Management, 129, 210(2003).

    [15] Li J, Zhan B, Zhang H et al[D]. Infrared Physics & Technology, 104, 103154(2019).

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    Bei CHEN, En-rang ZHENG, Tuo GUO. Application of Various Algorithms for Spectral Variable Selection in NIRS Modeling of Red Ginseng Extraction[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2443

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    Paper Information

    Category: Research Articles

    Received: Jan. 14, 2021

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: Bei CHEN (chenbei@sust.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2021)08-2443-07

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