Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines-Reference-Cited by-同舟云学术

Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines

Published:2017-08-24 Issue:1 Volume:96 Page:171-178
ISSN:0008-4034
Container-title:The Canadian Journal of Chemical Engineering
language:en
Short-container-title:Can. J. Chem. Eng.

Author:

Shardt Yuri A. W.¹,Mehrkanoon Siamak²,Zhang Kai³,Yang Xu³,Suykens Johan²,Ding Steven X.⁴,Peng Kaixiang³

Affiliation:

1. Department of Chemical Engineering, Faculty of Engineering, University of Waterloo, Waterloo, ON, Canada and Institute of Automatic Control and Complex Systems (AKS); University of Duisburg-Essen; Germany

2. ESAT-STADIUS; Catholic University of Leuven; Leuven Belgium

3. Key Laboratory of Knowledge Automation for Industrial Processes of the Ministry of Education, School of Automation and Electrical Engineering; University of Science and Technology Beijing; Beijing China

4. Institute of Automatic Control and Complex Systems (AKS); University of Duisburg-Essen; Germany

Publisher

Wiley

Subject

General Chemical Engineering

Reference23 articles.

1. Determining the state of a process control system: Current trends and future challenges

3. A New Soft-Sensor-Based Process Monitoring Scheme Incorporating Infrequent KPI Measurements

4. Y. A. W. Shardt X. Yang DYCOPS, IFAC 2016

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