Learning-Based Soft Sensing and Predictions for Process Industries : Theory, Methodology and Applications
Book Details
Format
Paperback / Softback
ISBN-10
0443367590
ISBN-13
9780443367595
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Aug 1st, 2026
Print length
242 Pages
Weight
450 grams
Product Classification:
Technology: general issuesEnterprise software
Ksh 27,000.00
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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.
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