Data–driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine
By: Shida Liu, Honghai Ji, Zhongsheng Hou, Jiashuo Zuo and Lingling Fan
Authors
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
Jiashuo Zuo
Chinazuojiashuo@stumail.ysu.edu.cn
Robot Control Laboratory, School of Electronic Engineering Yanshan University, China
Lingling Fan
School of Automation Beijing Information Science, Technology University, China
Language: English
Page range: 321 - 335
Submitted on: Apr 24, 2020
Accepted on: Feb 9, 2021
Published on: Jul 8, 2021
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2021 Shida Liu, Honghai Ji, Zhongsheng Hou, Jiashuo Zuo, Lingling Fan, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.