Erscheint: Oktober 2026
Buch (Softcover): Fachbuch
Learning-based Soft Sensing and Predictions for Process Industries
Theory, Methodology and Applications
Verlag:
Elsevier Unsere-Artikel-Nr.: P35943942
EAN: 9780443367595
Erscheint: Oktober 2026
Versand: Kostenlos
-22.2 %
CHF 239.–
CHF 186.–
Beschreibung
Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications. covers prediction and soft sensing in industrial processes that are subject to specific challenges with AI-empowered learning algorithms. With the aid of a data-driven modeling strategy, the book explores the problems of industrial prediction and soft sensing and formulates a series of learning-based theory, methodologies, and applications. The book introduces the basics of prediction and soft sensing backgrounds, including different categories of prediction theory. Secondly, covers the foundations of machine learning methodologies, including supervised learning prediction, semi-supervised, and self-supervised prediction. Finally, the book examines novel learning-based models/architectures.
Spezifikationen
Sprache
- Englisch
Autor
- Hamid Reza Karimi
- Yongxiang Lei
Erscheinungsjahr
- 2026
Format
- Buch (Softcover)