Details

Author(s):
M. Mojto – K. Ľubušký – M. Fikar – R. Paulen
Title:
Data-based Industrial Soft-sensor Design via Optimal Subset Selection
Booktitle:
31st European Symposium on Computer Aided Process Engineering
Year:
2021
Pages:
1247–1252
Editor(s):
Metin Türkay, Rafiqul Gani
Volume:
31
Series:
Computer-Aided Chemical Engineering
Publisher:
Elsevier
Language:
English
ISBN:
978-0-323-98325-9
ISSN:
1570-7946
DOI:
10.1016/B978-0-323-88506-5.50192-3
Category of publication:
AFC – Published papers at foreign scientific conferences
Department:
OIaRP
Inserted/edited by:
Ing. Martin Mojto, PhD.
Last change:
9.6.2021 21:11:41
Full text:
2263.pdf (217.16 kB)
Appendix:
2263.pdf (1.45 MB)
BibTeX:
@inproceedings{uiam2263,
author={M. Mojto and K. {\v{L}}ubu\v{s}k\'y and M. Fikar and R. Paulen},
title={Data-based Industrial Soft-sensor Design via Optimal Subset Selection},
booktitle={31st European Symposium on Computer Aided Process Engineering},
year={2021},
pages={1247-1252},
editor={Metin T\"urkay, Rafiqul Gani},
volume={31},
series={Computer-Aided Chemical Engineering},
publisher={Elsevier},
doi={10.1016/B978-0-323-88506-5.50192-3},
url={https://www.uiam.sk/assets/publication_info.php?id_pub=2263}
}