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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

Autor: Hamid Reza Karimi, Yongxiang Lei
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Elsevier Science
Dostupnost: Očekávaná novinka
Vydání 01. 10. 2026
4 341 Kč
Learning-Based Predictions and Soft Sensing for Process Industries covers prediction and soft sensin...

Informace o knize

Autor
Hamid Reza Karimi, Yongxiang Lei
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2026
Stránek
350
EAN
9780443367595
ISBN
0443367590
Enbook ID
50042241
Vydavatel
Elsevier Science
Hmotnost
450
Rozměry
152 x 229

Kompletní 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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