Spectroscopy and Spectral Analysis, Volume. 29, Issue 1, 127(2009)

Multiple Dependent Variables LS-SVM Regression Algorithm and Its Application in NIR Spectral Quantitative Analysis

AN Xin1...2,*, XU Shuo3, ZHANG Lu-da1 and SU Shi-guang1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(4)

    [8] [8] Suykens J A K,Vandewalle J.Neural Processing Letter,1999,9(3):293.

    [14] [14] Shawe-Taylor John,Cristianini Nello.Kernel Methods for Pattern Analysis.Cambridge University Press,2004.75.

    [15] [15] Bernhard Schlkopf,Alexander J Smola.Learning with Kernels:Support Vector Machines,Regularization,Optimization,and Beyond.Cambridge,MA:MIT Press, 2002.408.

    [16] [16] Hsu Chih-Wei,Chang Chih-Chung,Lin Chih-Jen.A Practical Guide to Support Vector Classification.Available[online]:http://www.csie.ntu.edu.tw/-cjlin/papers/guide/guide.pdf

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    AN Xin, XU Shuo, ZHANG Lu-da, SU Shi-guang. Multiple Dependent Variables LS-SVM Regression Algorithm and Its Application in NIR Spectral Quantitative Analysis[J]. Spectroscopy and Spectral Analysis, 2009, 29(1): 127

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    Paper Information

    Received: Sep. 28, 2007

    Accepted: --

    Published Online: Dec. 9, 2009

    The Author Email: Xin AN (zhangld@cau.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2009)01-0127-04

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