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Könyv 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

Szerző: Hamid Reza Karimi, Yongxiang Lei
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Elsevier Science
Elérhetőség: Könyvújdonság
Küldés 01. 10. 2026
64 428 Ft
Learning-Based Predictions and Soft Sensing for Process Industries covers prediction and soft sensin...

Információk a könyvről

Szerző
Hamid Reza Karimi, Yongxiang Lei
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2026
oldal
350
EAN
9780443367595
ISBN
0443367590
Enbook ID
50042241
Kiadó
Elsevier Science
Súly
450
Méretek
152 x 229

Teljes leírás

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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