Spectroscopy and Spectral Analysis, Volume. 45, Issue 1, 117(2025)

Research on a Mixed Gas Detection Method Based on KNN-SVM

SUN Chao1... HU Run-ze1, WU Zhong-xu2, LIU Nian-song2 and DING Jian-jun1,* |Show fewer author(s)
Author Affiliations
  • 1College of Intelligent Manufacturing, Jianghan University, Wuhan 430056, China
  • 2State Key Laboratory of Precision Blasting, Jianghan University, Wuhan 430056, China
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    References(8)

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    [2] [2] Suchnek J, Janda P, Dostl M, et al. Microchemical Journal, 2019, 144: 203.

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    [5] [5] Fang C, Liang T T, Qiao S D, et al. Optics Letters, 2024,49:770.

    [6] [6] Elefante A, Giglio M, Sampaolo A, et al. Analytical Chemistry, 2019, 91(20): 12866.

    [7] [7] Weigl S, Wittmann E, Rck T, et al. Sensors and Actuators B: Chemical, 2021, 328: 129001.

    [8] [8] Ma Y F, Liang T T, Qiao S D, et al. Ultrafast Science, 2023,3: 0024.

    [14] [14] Xia W, Song T, Yan Z, et al. A Method for Recognition of Mixed Gas Composition Based on PCA and KNN. 2021 19th International Conference on Optical Communications and Networks (ICOCN), Qufu, China, 2021, doi: 10.1109/ICOCN53177.2021.9563663.

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    SUN Chao, HU Run-ze, WU Zhong-xu, LIU Nian-song, DING Jian-jun. Research on a Mixed Gas Detection Method Based on KNN-SVM[J]. Spectroscopy and Spectral Analysis, 2025, 45(1): 117

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    Paper Information

    Received: Oct. 16, 2023

    Accepted: Feb. 28, 2025

    Published Online: Feb. 28, 2025

    The Author Email: Jian-jun DING (10107093@jhun.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2025)01-0117-08

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