Spectroscopy and Spectral Analysis, Volume. 39, Issue 10, 3136(2019)

Classification and Identification of Plastic with Laser-Induced Fluorescence Spectroscopy Based on Back Propagation Neural Network Model

WANG Xiang1...2, ZHAO Nan-jing1, YIN Gao-fang1, MENG De-shuo1,3, MA Ming-jun1,3, YU Zhi-min4, SHI Chao-yi4, QIN Zhi-song1,5 and LIU Jian-guo1 |Show fewer author(s)
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    References(7)

    [1] [1] Tang Z W, Zhang L Z, Huang Q F, et al. Ecotoxicology and Environmental Safety, 2015, 122: 343.

    [2] [2] Liao Q, Qu J H, Wang J P, et al. World Sci-Tech R&D, 2015, 37(2): 206.

    [3] [3] Rochman C M, Browne M A, Halpern B S, et al. Nature, 2013, 494(7436): 169.

    [7] [7] Unnikrishnan V K, Choudhari K S, Kulkarni S D, et al. RSC Advances, 2013, 3(48): 25872.

    [9] [9] Wang Q, Wu X M, Chen L C, et al. Applied Spectroscopy, 2017, 71(11): 2538.

    [11] [11] Trost J, Zigan L, Leipertz A, et al. Applied Optics, 2013, 52(33): 8001.

    [12] [12] Taketani F, Kanaya Y, Nakamura T, et al. Journal of Aerosol Science, 2013, 58: 1.

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    WANG Xiang, ZHAO Nan-jing, YIN Gao-fang, MENG De-shuo, MA Ming-jun, YU Zhi-min, SHI Chao-yi, QIN Zhi-song, LIU Jian-guo. Classification and Identification of Plastic with Laser-Induced Fluorescence Spectroscopy Based on Back Propagation Neural Network Model[J]. Spectroscopy and Spectral Analysis, 2019, 39(10): 3136

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    Paper Information

    Received: Sep. 7, 2018

    Accepted: --

    Published Online: Nov. 5, 2019

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2019)10-3136-06

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