Medicine composition concentration analysis based on least square support vector machine

Author

Guo, Xin-Chen ; Chen, Zhou-Yi ; Teng, Li-rong ; Wu, Chun-Guo ; Du, Tian-Bao ; Jia-Huilu ; Meng, Qing-fan ; Liang, Yan-Chun

Author_Institution

Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China

Volume

6

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

3704

Abstract

This paper presents a method of medicine composition concentration analysis based on least square support vector machines (LS-SVMs) and examines the importance of the hyperparameter choice in improvement of algorithm performance. Simulation results show that the proposed method obtains high quality precision in the generalization, compared with multiple linear regression, and that it is an efficient approach to regression estimation.

Keywords

medicine; regression analysis; support vector machines; hyperparameter choice; least square support vector machine; medicine composition concentration analysis; multiple linear regression estimation; Algorithm design and analysis; Educational institutions; Knowledge engineering; Lagrangian functions; Least squares methods; Linear regression; Performance analysis; Quadratic programming; Spectral analysis; Support vector machines; Support vector machine; absorbency; regression;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527584

Filename

1527584