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

Abstract:

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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%.

Info:

Periodical:

Advanced Materials Research (Volumes 271-273)

Edited by:

Junqiao Xiong

Pages:

1657-1660

DOI:

10.4028/www.scientific.net/AMR.271-273.1657

Citation:

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

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Price:

$35.00

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