Laser & Optoelectronics Progress, Volume. 62, Issue 13, 1330001(2025)

X-Ray Fluorescence Spectroscopy Combined with MLP-DNN for Rapid Classification of Cosmetic Paper Packaging Boxes

Xingyu Ma1, Xiaoguang Hu1、*, Hong Jiang2、**, Baofa Hu1, Shijian Wang1, and Ji Man3
Author Affiliations
  • 1School of Investigation, People's Public Security University of China, Beijing 100038, China
  • 2Center of Forensic Science Beijing Hui Zheng Zhuo Yue Technology Co.,Ltd., Beijing 102446, China
  • 3Beijing Huayi Honrizon Technology Co., Ltd., Beijing 100123, China
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    [9] Song S H, Huang Y X, Xie T et al. Comparison between wavelength dispersive X-ray fluorescence spectrometer and energy dispersive X-ray fluorescence spectrometer[J]. Modern Instruments, 5, 47-48(1999).

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    [17] Chen L, Xu Y, Wang F. A hybrid approach combining MLP and deep neural network for early diagnosis of cancer using molecular data[J]. Journal of Computational Biology, 26, 487-498(2019).

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    Xingyu Ma, Xiaoguang Hu, Hong Jiang, Baofa Hu, Shijian Wang, Ji Man. X-Ray Fluorescence Spectroscopy Combined with MLP-DNN for Rapid Classification of Cosmetic Paper Packaging Boxes[J]. Laser & Optoelectronics Progress, 2025, 62(13): 1330001

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    Paper Information

    Category: Spectroscopy

    Received: Nov. 15, 2024

    Accepted: Jan. 20, 2025

    Published Online: Jun. 12, 2025

    The Author Email: Xiaoguang Hu (michael.hu.07@foxmail.com), Hong Jiang (jiangh2001@163.com)

    DOI:10.3788/LOP242272

    CSTR:32186.14.LOP242272

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