Learning-Based Soft Sensing and Predictions for Process Industries

Theory, Methodology and Applications

von Hamid Reza Karimi, Yongxiang Lei

226 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.

• Themen: Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management Betriebswirtschaft und Management Unternehmensforschung
• ISBN: 9780443367595
• Sprache: Englisch
• Erscheinungsdatum: 12.08.2026
• Größe: 228 x 152 mm
• Verlag: Elsevier Science