• Spectroscopy and Spectral Analysis
  • Vol. 41, Issue 11, 3572 (2021)
Yu-ting XU1,*, Hao-ran SUN2,2;, Xun GAO1,1; *;, Kai-min GUO3,3; *;, and Jing-quan LIN1,1;
Author Affiliations
  • 11. College of Science, Changchun University of Science and Technology, Changchun 130022, China
  • 22. College of Mechanical and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
  • 33. College of Physical Science and Technology, Baotou Normal University, Baotou 014030, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2021)11-3572-05 Cite this Article
    Yu-ting XU, Hao-ran SUN, Xun GAO, Kai-min GUO, Jing-quan LIN. Identification of Pork Parts Based on LIBS Technology Combined With PCA-SVM Machine Learning[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3572 Copy Citation Text show less
    References

    [2] L Maruccio, G Russolillo M, E Varricchio et al. European Journal of Histochemistry, 57, 10(2013).

    [5] M Corsi, V Palleschi, E Tognoni et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 57, 1115(2002).

    [6] L Huang, M Yao, J Zheng et al. Optics & Laser Technology, 52, 70(2013).

    [7] Cremers David, Radziemski Leon. Spectrochimica Acta Part B: Atomic Spectroscopy, 87, 3(2013).

    [10] C C Jay Kuo, Ruiyuan Lin, Yuanhang Su. Expert Systems with Applications, 118, 355(2019).

    [12] C Cocianu. Economic Computation and Economic Cybernetics Studies and Research, 47, 41(2013).

    Yu-ting XU, Hao-ran SUN, Xun GAO, Kai-min GUO, Jing-quan LIN. Identification of Pork Parts Based on LIBS Technology Combined With PCA-SVM Machine Learning[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3572
    Download Citation