Spectroscopy and Spectral Analysis, Volume. 37, Issue 11, 3370(2017)

Research on Near Infrared Spectrum with Principal Component Analysis and Support Vector Machine for Timber Identification

TAN Nian1, SUN Yi-dan1, WANG Xue-shun1, HUANG An-min2, and XIE Bing-feng1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(7)

    [7] [7] Gifty Acquah, Brian Via, Oladiran Fasina, et al. Journal of Near Infrared Spectroscopy, 2015, (2): 93.

    [8] [8] SHI Jianhong, SONG Weixing. Journal of Statistical Planning and Inference, 2016, 175: 87.

    [9] [9] Chen Peng, Yuan Lifen, He Yigang, et al. Neurocomputing, 2016, (211): 202.

    [10] [10] Wang Xiang, An Kang, Tang Liang, et al. International Journal of Transportation Science and Technology, 2015, 4(3): 337.

    [11] [11] Liu Yang, Bi Jianwu, Fan Zhiping. Information Sciences, 2017, (394-395): 38.

    [12] [12] Harisankar Bendu, Deepak B B V L, Murugan S. Applied Energy, 2017, (187): 601.

    [13] [13] Jawahar N, Subhaa R. Journal of Manufacturing Systems, 2017, 44(1): 115.

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    TAN Nian, SUN Yi-dan, WANG Xue-shun, HUANG An-min, XIE Bing-feng. Research on Near Infrared Spectrum with Principal Component Analysis and Support Vector Machine for Timber Identification[J]. Spectroscopy and Spectral Analysis, 2017, 37(11): 3370

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    Paper Information

    Received: Apr. 22, 2015

    Accepted: --

    Published Online: Jan. 4, 2018

    The Author Email:

    DOI:10.3964/j.issn.1000-0593(2017)11-3370-05

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