The Journal of Light Scattering, Volume. 36, Issue 4, 454(2024)

Identification of vegetable oil species based on PCA-ACO-SVM algorithm and FTIR technology

JIA Dan1, MING Mina1, LEI Lei2, ZHOU Rui3, and HOU Jinliang4
Author Affiliations
  • 1Zhumadian Vocational and technical College, Zhumadian 463000, Henan, China
  • 2Henan University of Economics Law, Zhengzhou 450046, Henan, China
  • 3College of Information and Management Science, Henan Agricultural University, Zhengzhou 450002, Henan, China
  • 4School of Information and Engineering, ZhengZhou University, ZhengZhou, 450001, Henan, China
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    References(5)

    [4] [4] Htet T T M, Cruz J, Khongkaew P, et al. PLS-regression-model-assisted raman spectroscopy for vegetable oil classification and non-destructive analysis of alpha-tocopherol contents of vegetable oils[J]. Journal of Food Composition and Analysis, 2021, 103, 104119.

    [5] [5] Jimnez-Carvelo A M, Osorio M T, Koidis A, et al. Chemometric classification and quantification of olive oil in blends with any edible vegetable oils using FTIR-ATR and Raman spectroscopy[J]. LWT, 2017, 86: 174-184.

    [6] [6] Shi W Y, Wu G. Perturbation analysis on PCA plus graph embedding methods and PCA plus exponential graph embedding methods[J]. Journal of Computational and Applied Mathematics, 2024, 444: 115788.

    [7] [7] Dorigo M, Maniezzo V, Colorni A. Ant system: optimization by a colony of cooperating agents[J]. IEEE Trans Syst Man Cybern B Cybern. 1996, 26(1): 29-41.

    [8] [8] Boser B, Guyon I, Vapnik V. A training algorithm for optimal margin classifiers[J]. Proceedings of the Fifth Annual Workshop on Computational Learning Theory, Pittsburgh. 1992, 5: 144-152.

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    JIA Dan, MING Mina, LEI Lei, ZHOU Rui, HOU Jinliang. Identification of vegetable oil species based on PCA-ACO-SVM algorithm and FTIR technology[J]. The Journal of Light Scattering, 2024, 36(4): 454

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    Paper Information

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    Received: Apr. 2, 2024

    Accepted: Jan. 21, 2025

    Published Online: Jan. 21, 2025

    The Author Email:

    DOI:10.13883/j.issn1004-5929.202404011

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