Application of the support vector machine algorithm in distinguishing Chinese herbal medicine fingerprint diagram data

Author

Zhuo, Ze-Qiang ; Du, Jian-Wei ; Liu, Qing-Jun ; Ma, Chuan-You

Author_Institution

Dept. of Math. & Phys., Beijing Inst. of Petro-Chem. Technol., Beijing

Volume

2

fYear

2008

fDate

30-31 Aug. 2008

Firstpage

474

Lastpage

479

Abstract

By applying the method of support vector machine, we carry on a classification study of existing diagram data of the Chinese herbal medicine fingerprint. We compared the effect of support vector machine algorithm on two and several types of data identification with that of the existing computer classification methods. It is shown that the support vector machine method can be used to identify Chinese herbal medicine fingerprint diagram. Some suggestions are put forward to identifying the Chinese herbal medicine fingerprint diagram.

Keywords

drugs; medicine; pattern classification; support vector machines; Chinese herbal medicine fingerprint diagram data; computer classification methods; data identification; support vector machine algorithm; Algorithm design and analysis; Fingerprint recognition; Mathematics; Pattern analysis; Pattern recognition; Physics; Statistics; Support vector machine classification; Support vector machines; Wavelet analysis; Chinese Herbal Medicine Fingerprint Diagram; Effect Comparison; Identification; Possibility; Support Vector Machine; Usefulness;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2008. ICWAPR '08. International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-2238-8

Electronic_ISBN

978-1-4244-2239-5

Type

conf

DOI

10.1109/ICWAPR.2008.4635827

Filename

4635827