• Spectroscopy and Spectral Analysis
  • Vol. 30, Issue 1, 243 (2010)
YANG Jian-lei1、*, ZHU Tuo2, XU Yan3, FAN Wen-lai3, and WU Hao2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • show less
    DOI: 10.3964/j.issn.1000-0593(2010)01-0243-04 Cite this Article
    YANG Jian-lei, ZHU Tuo, XU Yan, FAN Wen-lai, WU Hao. Application of Three-Dimensional Fluorescence Spectra Technique to Discriminati on of Distilled Spirits Based on Support Vector Machines[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 243 Copy Citation Text show less
    References

    [9] Vapnik V. Statistical Learning Theory. New York,John Wiley and SonsInc.,1998.

    [10] Suykens J A K,Vanderwalle J. Neural Processing Letters,1999,9(3): 293.

    CLP Journals

    [1] 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

    YANG Jian-lei, ZHU Tuo, XU Yan, FAN Wen-lai, WU Hao. Application of Three-Dimensional Fluorescence Spectra Technique to Discriminati on of Distilled Spirits Based on Support Vector Machines[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 243
    Download Citation