计算机工程与应用2011，Vol.47Issue(33)：213-215,3.DOI:10.3778/j.issn.1002-8331.2011.33.062
高斯过程集成算法的发酵过程软测量建模
Soft-sensor modeling of fermentation process based on Gaussian process ensemble model
摘要
Abstract
To solve the problem of low modeling precision due to some key parameters unable to be measured on line in the glutamic acid process,a Gaussian process ensemble model for soft-sensor is proposed based on Bagging and Gaussian process algorithms.This algorithm selects a number of sub-training sets from the whole training sample using Bagging technique, and then trains many Gaussian process sub-models using the sub-training sets respectively.The output of the model is achieved by averaging all the outputs of the sub-models.The ensemble algorithm is applied to the soft sensor model of the glutamic acid fermentation process and achieves more accurate prediction and better robustness compared with single Gaussian process model.关键词
高斯过程/Bagging算法/软测量/谷氨酸发酵Key words
Gaussian process/Bagging algorithm/soft sensor/glutamic acid fermentation分类
信息技术与安全科学引用本文复制引用
张相胜,王凯..高斯过程集成算法的发酵过程软测量建模[J].计算机工程与应用,2011,47(33):213-215,3.基金项目
国家高技术研究发展计划(863)(the National High-Tech Research and Development Plan of China under Grant No.2006AA020301). （863）
