Novel multimodal data fusion soft sensor modeling framework based on meta-learning networks for complex chemical process-Reference-Cited by-同舟云学术

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Novel multimodal data fusion soft sensor modeling framework based on meta-learning networks for complex chemical process

Published:2022 Issue:7 Volume:55 Page:839-844
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Xiaoyong Gao,Yanchao Liu,Yi Xie,Dexian Huang

Funder

Science Foundation of China University of Petroleum, Beijing

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference25 articles.

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2. An iterative two-level optimization method for the modeling of wiener structure nonlinear dynamic soft sensors[J];Gao;Industrial & Engineering Chemistry Research,2014

3. ANN-based soft-sensor for real-time process monitoring and control of an industrial polymerization process[J];Gonzaga;Computers and Chemical Engineering,2009

4. Adaptive soft sensor based on online support vector regression and Bayesian ensemble learning for various states in chemical plants[J];Kaneko;Chemometrics and Intelligent Laboratory Systems,2014

5. Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry[J];Kano;Computers & Chemical Engineering,2008

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