Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications

Learning-Based Soft Sensing and Predictions for Process Industries: Theory, Methodology and Applications

Karimi, Hamid Reza
Lei, Yongxiang

Paperback

Technology & EngineeringApplications

ISBN10: 0443367590
ISBN13: 9780443367595
Publisher: Academic Press
Published: Aug 12 2026
Pages: 226
Weight: 0.85
Height: 0.56 Width: 5.99 Depth: 8.99
Language: English
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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