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Journals
International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 2 (June 2021)
Open Access
Data–driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine
Shida Liu
Shida Liu
,
Honghai Ji
Honghai Ji
,
Zhongsheng Hou
Zhongsheng Hou
,
Jiashuo Zuo
Jiashuo Zuo
and
Lingling Fan
Lingling Fan
| Jul 08, 2021
International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 2 (June 2021)
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Published Online:
Jul 08, 2021
Page range:
321 - 335
Received:
Apr 24, 2020
Accepted:
Feb 09, 2021
DOI:
https://doi.org/10.34768/amcs-2021-0022
Keywords
data-driven modelling
,
UGI gasification process
,
relevance vector machine
,
modified lazy learning
© 2021 Shida Liu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Shida Liu
School of Electrical and Control Engineering China University of Technology
China
Honghai Ji
School of Electrical and Control Engineering China University of Technology
China
Zhongsheng Hou
School of Automation Qingdao University,
Qingdao, China
Jiashuo Zuo
Robot Control Laboratory, School of Electronic Engineering Yanshan University
China
Lingling Fan
School of Automation Beijing Information Science Technology University
China