• Acta Photonica Sinica
  • Vol. 42, Issue 9, 1123 (2013)
YANG Yan-rong1、*, YANG Ren-jie1, ZHANG Zhi-yong1, YANG Shi-chun2, and LIANG Peng3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/gzxb20134209.1123 Cite this Article
    YANG Yan-rong, YANG Ren-jie, ZHANG Zhi-yong, YANG Shi-chun, LIANG Peng. Discrimination of Adulterated Milk Using Least Square Support Vector Machines Combined with Two-dimensional Correlation Infrared Spectroscopy[J]. Acta Photonica Sinica, 2013, 42(9): 1123 Copy Citation Text show less
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    [5] LIU X L, JIA G, WU C M, et al. Determination of characteristic wave bands and detection of melamine in fishmeal by Fourier Transform near infrared spectroscopy[J]. Journal of Near Infrared Spectroscopy, 2010, 18(2): 113-120.

    [6] NODA I. Advances in two-dimensional correlation spectroscopy [J]. Vibrational Spectroscopy, 2004, 36(2): 143-165.

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    [9] YANG Ren-Jie, LIU Rong, XU Ke-Xin. Detection of urea in milk using two-dimensional correlation spectroscopy and partial least square method [J]. Transactions of the CSAE, 2012, 28(6): 259-263.

    [10] XIONG Yu-hong, WEN Zhi-yu, CHEN Gang, et al. Spectral multicomponent analysis based on wavelet transform and support vector machine[J]. Acta Photonica Sinica, 2005, 34(10): 1514-1517.

    [11] YU Ke, CHENG Yi-yu. Discriminating the genuineness of Chinese medicines with least squares support machines[J]. Chinese Journal of Analytical Chemistry, 2006, 34(4): 561-564.

    [12] YANG Jian-lei, ZHU Tuo, XU Yan, et al, Application of three-dimensional fluorescence spectra technique to discrimination of distilled spirits based on support vector machines[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 243-246.

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    YANG Yan-rong, YANG Ren-jie, ZHANG Zhi-yong, YANG Shi-chun, LIANG Peng. Discrimination of Adulterated Milk Using Least Square Support Vector Machines Combined with Two-dimensional Correlation Infrared Spectroscopy[J]. Acta Photonica Sinica, 2013, 42(9): 1123
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