Spectroscopy and Spectral Analysis, Volume. 40, Issue 5, 1495(2020)

Infrared Spectral Study on the Origin Identification of Boletus Tomentipes Based on the Random Forest Algorithm and Data Fusion Strategy

HU Yi-ran1... LI Jie-qing1, LIU Hong-gao2, FAN Mao-pan1,* and WANG Yuan-zhong3 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(8)

    [1] [1] Wang X, Zhang J, Wu L, et al. Food Chemistry, 2014, 151: 279.

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    [7] [7] Wang X, Zhang J, Li T, et al. Journal of Analytical Methods in Chemistry, 2015, 2015: http://dx.doi.org/10.1155/2015/165412.

    [8] [8] Li Y, Zhang J, Wang Y. Analytical and Bioanalytical Chemistry, 2018, 410(1): 91.

    [9] [9] Wang Y, Zuo Z T, Huang H Y, et al. Royal Society Open Science, 2019, 6(5): 190399.

    [10] [10] He P, Xu X, Zhang B, et al. Estimation of Leaf Chlorophyll Content in Winter Wheat Using Variable Importance for Projection (VIP) with Hyperspectral Data. Proceedings of SPIE, 2015, 9637: 963708.

    [12] [12] Mellado-Mojica E, López M G. Food Chemistry, 2015, 167: 349.

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    HU Yi-ran, LI Jie-qing, LIU Hong-gao, FAN Mao-pan, WANG Yuan-zhong. Infrared Spectral Study on the Origin Identification of Boletus Tomentipes Based on the Random Forest Algorithm and Data Fusion Strategy[J]. Spectroscopy and Spectral Analysis, 2020, 40(5): 1495

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    Paper Information

    Received: Oct. 8, 2019

    Accepted: --

    Published Online: Dec. 9, 2020

    The Author Email: Mao-pan FAN (mpfan@126.com)

    DOI:10.3964/j.issn.1000-0593(2020)05-1495-08

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