中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification

文献类型:期刊论文

作者Feng Li; Tian Zheng; Naibao He; Qingfeng Cao
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2022
卷号9期号:9页码:1702-1705
ISSN号2329-9266
DOI10.1109/JAS.2022.105821
源URL[http://ir.ia.ac.cn/handle/173211/49686]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Feng Li,Tian Zheng,Naibao He,et al. Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(9):1702-1705.
APA Feng Li,Tian Zheng,Naibao He,&Qingfeng Cao.(2022).Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification.IEEE/CAA Journal of Automatica Sinica,9(9),1702-1705.
MLA Feng Li,et al."Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification".IEEE/CAA Journal of Automatica Sinica 9.9(2022):1702-1705.

入库方式: OAI收割

来源:自动化研究所

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