Have a personal or library account? Click to login

Data–driven online modelling for a UGI gasification process using modified lazy learning with a relevance vector machine

Open Access
|Jul 2021

Authors

Shida Liu

lsdshiwo@hotmail.com

School of Electrical and Control Engineering, China University of Technology, China

Honghai Ji

jhh@ncut.edu.cn

School of Electrical and Control Engineering, China University of Technology, China

Zhongsheng Hou

zhshhou@bjtu.edu.cn

School of Automation Qingdao University, Qingdao, China

Jiashuo Zuo

Chinazuojiashuo@stumail.ysu.edu.cn

Robot Control Laboratory, School of Electronic Engineering Yanshan University, China

Lingling Fan

linglingfan@bistu.edu.cn

School of Automation Beijing Information Science, Technology University, China
DOI: https://doi.org/10.34768/amcs-2021-0022 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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

© 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.