Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines
In: The Canadian Journal of Chemical Engineering (CJChE), Vol. 96 (2018), No. 1, pp. 171 - 178
2018article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Modelling the strip thickness in hot steel rolling mills using least-squares support vector machines
Author:
Shardt, Yuri A. W.
- LSF ID
- 54704
- ORCID
- 0000-0002-3708-8945
- Other
- connected with university
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2018
Open Access?:
Closed access
Scopus ID
Language of text:
English
Keyword, Topic:
Process systems engineering ; Soft sensors ; Steel mill ; Support vector machines
Type of resource:
Text