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

AN Xin; XU Shuo; ZHANG Lu-da; SU Shi-guang

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

Journals >Spectroscopy and Spectral Analysis >Volume 29 >Issue 1 >Page 127 > Article

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

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

AN Xin^1、2、*, XU Shuo³, ZHANG Lu-da¹, and SU Shi-guang¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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

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 Copy Citation Text

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References

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

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

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

[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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