Modelling the relationship between constituents and anti-RSV effect of Baikal skullcap root
- Resource Type
- Conference
- Authors
- Li, Ke; Zhao, Bonian; Gao, Yan; Wang, Bianli; Yu, Zongyuan; Zhao, Hongpeng
- Source
- 2015 International Conference on Advanced Mechatronic Systems (ICAMechS) Advanced Mechatronic Systems (ICAMechS), 2015 International Conference on. :306-309 Aug, 2015
- Subject
- Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Data models
Support vector machines
Fingerprint recognition
Kernel
Indexes
Predictive models
Training data
anti-respiratory syncytial virus
Baikal skullcap root
least squares support vector machines
- Language
- ISSN
- 2325-0682
2325-0690
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.