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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554278
