Vinegar Identification by Ultraviolet Spectrum Technology and Improved Multi-Class Support Vector Machines


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In this paper, we proposed a new method to identify vinegar. First, we obtained the ultraviolet spectrum curves(samples) of five kinds of vinegar by ultraviolet spectrum scanning technology. Then, the samples of five kinds of vinegar were trained and tested by improved Multi-class Support Vector Machines(MSVM) for identification. The experimental results indicate that the method of combining ultraviolet spectrum technology and improved multi-class support vector machines is effective and accurate. The identification accuracy is 100%.



Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong




X. M. Yang et al., "Vinegar Identification by Ultraviolet Spectrum Technology and Improved Multi-Class Support Vector Machines", Advanced Materials Research, Vols. 271-273, pp. 1657-1660, 2011

Online since:

July 2011




[1] Shunping Zhang, Qinyi Zhang, Dengfeng Li: Research on Vinegar Identification by Electronic Nose[J]. Chinese Journal of Sensors and Actuators, Vol. 19(1), pp.104-107, (2006).


[2] Huadong Xie, Lijun Bu, Zhixi Li: New Method of Vinegar Detection Based on Ultraviolet Fingerprint Technology[J]. Journal of Agriculture Machine, Vol. 40 (4), pp.133-138, (2009).

[3] Huali Zhao, Zhixi Li, Xuemei Yang and Baoan Chen: Vinegar Identification by ultraviolet Spect rum Technology and Pattern Recognition Method[J], Scientia Magna, Vol. 5(3) pp.103-110 (2009).

[4] Shuying Yang: Pattern Recognition And Intelligent Computation[M], Beijing: Publishing House of Electronics Industry, p.138, (2008).

[5] John Shawe-Taylor, Nello Cristianini: Kernel Methods for Pattern Analysis[M], Beijing: China Machine Press, pp.211-230, (2005).


[6] Deng Naiyang, Tian Yingjie: New Method in Data Digging—Support Vector Machine [M], Beijing: Publishing House of Science, p.217, (2005).

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