Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2437(2021)

Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm

Hao-guang LI*, Yun-hua YU1; 2;, Yan PANG1;, and Xue-feng SHEN1; 2;
Author Affiliations
  • 1. College of Mechanical and Control Engineering, Shandong Institute of Petrochemical and Chemical Technology, Dongying 257061, China
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    References(8)

    [1] B Chen, L Chu X, Y Shi Y et al. Journal of Instrumental Analysis, 38, 603(2019).

    [2] J Lei H, Q Wen, F Yu et al. Laser & Optoelectronics Progress, 55, 30(2018).

    [3] H Wang S, X Zhang, W Zhang G et al. Infrared Technology, 42, 688(2020).

    [4] W Huang Y, H Li, L Wang R. Cereals & Oils, 30, 1(2017).

    [5] R Gong H, Y Miao, X Miao X et al. Food Science and Technology, 44, 335(2019).

    [7] T Chen T, Z Han X, J Wang K et al. Food and Machinery, 36, 46(2020).

    [9] H Boyaci I, T Bulat, Y Karacaglar N N et al. Journal of Food and Drug Analysis, 27, 101(2019).

    [10] J Chen S, Y Ma J, H Qin et al. Infrared Technology, 1, 78(2015).

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    Hao-guang LI, Yun-hua YU, Yan PANG, Xue-feng SHEN. Study on Characteristic Wavelength Extraction Method for Near Infrared Spectroscopy Identification Based on Genetic Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2437

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    Paper Information

    Category: Research Articles

    Received: Jan. 19, 2021

    Accepted: --

    Published Online: Sep. 8, 2021

    The Author Email: LI Hao-guang (lihaoguang@upc.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2021)08-2437-06

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