# [1]刘国海,苏勇,杨铭,等.基于多准则和高斯过程回归的动态软测量建模方法[J].东南大学学报(自然科学版),2015,45(6):1086-1090.[doi:10.3969/j.issn.1001-0505.2015.06.011] 　Liu Guohai,Su Yong,Yang Ming,et al.Dynamic soft sensor modeling based on multi-criterion method and Gaussian process regression[J].Journal of Southeast University (Natural Science Edition),2015,45(6):1086-1090.[doi:10.3969/j.issn.1001-0505.2015.06.011] 点击复制 基于多准则和高斯过程回归的动态软测量建模方法() 分享到： var jiathis_config = { data_track_clickback: true };

45

2015年第6期

1086-1090

2015-11-20

## 文章信息/Info

Title:
Dynamic soft sensor modeling based on multi-criterion method and Gaussian process regression

Author(s):
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China

Keywords:

TP13
DOI:
10.3969/j.issn.1001-0505.2015.06.011

Abstract:
A dynamic soft sensor modeling method based on multi-criterion method and Gaussian process regression is presented to overcome the problems of low prediction accuracy and poor robustness in static soft sensors. The multi-criterion method, as a theoretical basis of determing model order, takes into account several traditional criterions. The application of the proposed soft sensor to an erythromycin fermentation process is presented. Results show that the proposed dynamic soft sensor has high prediction accuracy and small predicted confidence intervals.

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