Spectroscopy and Spectral Analysis, Volume. 40, Issue 6, 1869(2020)

Research on Near Infrared Spectral Feature Variable Selection Method Based on Improved Harmonic Search Algorithm

ZHANG Lei1, DING Xiang-qian1, GONG Hui-li1, WU Li-jun2、*, BAI Xiao-li2, and LUO Lin2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(5)

    [6] [6] Moayedikia A, Ong K L, Boo Y L, et al. Engineering Applications of Artificial Intelligence, 2017, 57(C): 38.

    [7] [7] Enayatifar R, Yousefi M, Abdullah A H, et al. Communications in Nonlinear Science & Numerical Simulation, 2013, 18(12): 3481.

    [9] [9] Khalili M, Kharrat R, Salahshoor K, et al. Applied Mathematics & Computation, 2014, 228(9): 195.

    [10] [10] Sutskever I, Hinton G E. Neural Computation, 2014, 20(11): 2629.

    [13] [13] Abdelgayed T S, Morsi W G, Sidhu T S. IEEE Transactions on Smart Grid, 2018, 9(2): 521.

    Tools

    Get Citation

    Copy Citation Text

    ZHANG Lei, DING Xiang-qian, GONG Hui-li, WU Li-jun, BAI Xiao-li, LUO Lin. Research on Near Infrared Spectral Feature Variable Selection Method Based on Improved Harmonic Search Algorithm[J]. Spectroscopy and Spectral Analysis, 2020, 40(6): 1869

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Apr. 15, 2019

    Accepted: --

    Published Online: Dec. 8, 2020

    The Author Email: WU Li-jun (wallis8@126.com)

    DOI:10.3964/j.issn.1000-0593(2020)06-1869-07

    Topics