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Carte 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
Limbă: engleză
Legare: Carte broșată
Editura: Elsevier Science
Disponibilitate: Nou în așteptare
Ediția 01. 10. 2026
954.03 lei
Learning-Based Predictions and Soft Sensing for Process Industries covers prediction and soft sensin...

Informații despre carte

Autor
Hamid Reza Karimi, Yongxiang Lei
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2026
Pagini
350
EAN
9780443367595
ISBN
0443367590
Enbook ID
50042241
Editura
Elsevier Science
Greutate
450
Dimensiuni
152 x 229

Descriere completă

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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