Title :
Modelling the relationship between constituents and anti-RSV effect of Baikal skullcap root
Author :
Ke Li;Bonian Zhao;Yan Gao;Bianli Wang;Zongyuan Yu;Hongpeng Zhao
Author_Institution :
Shandong Provincial Key Laboratory of Automotive Electronic Technology, Institute of Automation, Shandong Academy of Sciences, Jinan, China
Abstract :
In this work, based on least squares support vector machine regression, a model that characterizes the relationship between constituents of Baikal skullcap root and therapeutic index of anti-respiratory syncytial virus was established. The computational simulation showed that this model fits well with the experimental data, and validation experimental results also supported the theoretical predictions.
Keywords :
"Data models","Support vector machines","Fingerprint recognition","Kernel","Indexes","Predictive models","Training data"
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2015 International Conference on
Electronic_ISBN :
2325-0690
DOI :
10.1109/ICAMechS.2015.7287079
