Researching | Application of Three-Dimensional Fluorescence Spectra Technique to Discriminati on of Distilled Spirits Based on Support Vector Machines

Spectroscopy and Spectral Analysis, Volume. 30, Issue 1, 243(2010)

Application of Three-Dimensional Fluorescence Spectra Technique to Discriminati on of Distilled Spirits Based on Support Vector Machines

YANG Jian-lei^1、*, ZHU Tuo², XU Yan³, FAN Wen-lai³, and WU Hao²

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¹[in Chinese]

²[in Chinese]

³[in Chinese]

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

[10] [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

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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

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Paper Information

Received: Dec. 16, 2008

Accepted: --

Published Online: Jul. 13, 2010

The Author Email: Jian-lei YANG (janlyyang@126.com)

DOI:10.3964/j.issn.1000-0593(2010)01-0243-04

Topics

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