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Machine Learning for Soft Sensors and an Application in Cement Production
Author: | Marcel Stöhr, Thomas Zielke |
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Fachbereich/Einrichtung: | Hochschule Düsseldorf / Fachbereich - Maschinenbau und Verfahrenstechnik |
Document Type: | Conference Proceeding |
Year of Completion: | 2023 |
Language of Publication: | English |
Publisher: | Springer |
Place of publication: | Cham |
Parent Title (English): | Smart, Sustainable Manufacturing in an Ever-Changing World Proceedings of International Conference on Competitive Manufacturing (COMA ’22) |
Editor: | Konrad von Leipzig, Natasha Sacks, Michelle Mc Clelland |
Volume: | Lecture Notes in Production Engineering |
First Page: | 627 |
Last Page: | 638 |
DOI: | https://doi.org/10.1007/978-3-031-15602-1_46 |
ISBN: | 978-3-031-15604-5 |
Tag: | Artificial intelligence; Cement production; Dynamic processes; Machine learning; Robustness; Soft sensors |
Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten |
Licence (German): | keine Lizenz - nur Metadaten |
Release Date: | 2023/03/10 |