DocumentCode
1683154
Title
A support vector machines for the polymerization rate of vinyl acetate
Author
Huang, Jiangping ; Zhu, Zhigao ; Tao, Huihui
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of East China Jiaotong, Nanchang, China
fYear
2010
Firstpage
7046
Lastpage
7049
Abstract
The polymerization rate of vinyl acetate is extremely important qualitative index and processing parameter, but it is inconvenient being measured directly and real-timely, therefor, in this paper, soft sensor modeling method based on Least Square SVM(LS-SVM)is proposed and cross validation method is used to select hyper-parameter of LS-SVM model. It is applied to the soft sensor of the vinyl acetate (VAC) polymerization rate. Effective result indicates that LS-SVM is of potential application in soft sensor.
Keywords
polymerisation; resins; support vector machines; LS-SVM; cross validation method; hyper-parameter; least square SVM; polymerization rate; processing parameter; qualitative index; soft sensor modeling; support vector machines; vinyl acetate; Analytical models; Data models; Mathematical model; Polymers; Predictive models; Production; Support vector machines; VAC polymerization rate; least squares; soft-sensing; support vector machine;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location
Jinan
Print_ISBN
978-1-4244-6712-9
Type
conf
DOI
10.1109/WCICA.2010.5554278
Filename
5554278
Link To Document