文献类型：期刊文献

英文题名：On line estimation of color values (B*) in pet process using Gaussian process regression

作者：Luo, Na[1]; Qian, Feng[1]

机构：[1] School of Information Science and Engineering, Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, 200237, China

年份：2010

起止页码：5842

外文期刊名：Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

收录：EI(收录号：20104313325429)

语种：英文

外文关键词：Gaussian noise (electronic) - Gaussian distribution - Uncertainty analysis

摘要：With improvement of PET quality, the color of PET is required to be controlled. But the mechanism model of PET color is not so clear. In this paper, a modeling method of color values (B*) is introduced. It is based on sparse pseudo-input gaussian process. Online correction is added to the modeling based on sliding time window. Comparing to support vector regression, the model using gaussian process gives both prediction and predictive variance. The results show that B* value model using gaussian process is more flexible and can be used in real process. ? 2010 IEEE.