Laser & Optoelectronics Progress, Volume. 57, Issue 15, 153002(2020)

Plastic Classification and Recognition by Laser-Induced Breakdown Spectroscopy and GA-BP Neural Network

Haisheng Song, Linzhao Ma*, Engong Zhu, Yifan Wang, Yuping Liu, Wenjian Sun, Peng Peng, and Chengfei Li
Author Affiliations
  • College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China
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    References(14)

    [1] Xu J L, Zhong X P, Zhu Y G et al. Progress of the world's plastics industry in 2015—2016[J]. China Plastics Industry, 45, 1-44, 108(2017).

    [2] Wu Y H. Research on the assessment of waste plastic resources technology and potential environmental impact[D]. Harbin: Harbin Institute of Technology(2013).

    [9] Yu Y, Hao Z Q, Li C M et al. Identification of plastics by laser-induced breakdown spectroscopy combined with support vector machine algorithm[J]. Acta Physica Sinica, 62, 282-288(2013).

    [12] Xiao J L, Yue D W, Zhao Z Z et al. A visible light localization algorithm based on BP neural network optimized by genetic algorithm[J]. Journal of Optoelectronics·Laser, 30, 810-816(2019).

    [14] Zhao Q. A review of principal component analysis[J]. Softwar Engineering, 19, 1-3(2016).

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    Haisheng Song, Linzhao Ma, Engong Zhu, Yifan Wang, Yuping Liu, Wenjian Sun, Peng Peng, Chengfei Li. Plastic Classification and Recognition by Laser-Induced Breakdown Spectroscopy and GA-BP Neural Network[J]. Laser & Optoelectronics Progress, 2020, 57(15): 153002

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    Paper Information

    Category: Spectroscopy

    Received: Nov. 19, 2019

    Accepted: Nov. 26, 2019

    Published Online: Aug. 4, 2020

    The Author Email: Linzhao Ma (1093704655@qq.com)

    DOI:10.3788/LOP57.153002

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