Application of particle swarm optimization-based least square support vector machine in quantitative analysis of extraction solution of yangxinshi tablet using near infrared spectroscopy

Application of particle swarm optimization-based least square support vector machine in quantitative analysis of extraction solution of yangxinshi tablet using near infrared spectroscopy

A particle swarm optimization (PSO)-based least square support vector machine (LS-SVM) method was investigated for quantitative analysis of extraction solution of Yangxinshi tablet using near infrared (NIR) spectroscopy. The usable spectral region (5400–6200 cm-1) was identified, then the first deri...

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Bibliographic Details
Main Authors: Weijian Lou, Kai Yang, Miaoqin Zhu, Yongjiang Wu, Xuesong Liu, Ye Jin
Format: Article
Language:English
Published: World Scientific Publishing 2014-11-01
Series:Journal of Innovative Optical Health Sciences
Subjects:
Near infrared spectroscopy
extraction
particle swarm optimization
least square support vector machines
Online Access:http://www.worldscientific.com/doi/pdf/10.1142/S1793545814500114

Internet

http://www.worldscientific.com/doi/pdf/10.1142/S1793545814500114

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