Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527584
