Kniha Learning-Based Predictions and Soft Sensing for Process Industries Hamid Reza Karimi

Learning-Based Predictions and Soft Sensing for Process Industries

Theory, Methodology and Applications

Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: Elsevier Science
Dostupnosť: Očakávaná novinka
Vydanie 01. 10. 2026
182.40
Learning-Based Predictions and Soft Sensing for Process Industries covers prediction and soft sensin...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
350
EAN
9780443367595
ISBN
0443367590
Enbook ID
50042241
Vydavateľ
Hmotnosť
450
Rozmery
152 x 229

Kompletný popis

Learning-Based Predictions and Soft Sensing for Process Industries covers prediction and soft sensing in industrial processes 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, methodology and applications. The book introduces the basics of the prediction and soft sensing backgrounds, including the different categories of prediction theory. Secondly, the book looks at the foundations of machine learning methodologies, which covers supervised learning prediction, semi-supervised and self-supervised prediction. Finally, the book examines some novel learning-based models/architectures

  • Covers the benefits and an explanation of recent developments in prediction and soft sensing systems
  • Unifies existing and emerging concepts concerning advanced prediction models/architectures
  • Provides a series of the latest results in, including but not limited to, supervised learning, semi-supervised learning, self-supervised learning, probabilistic learning

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