Data-Driven Prediction for Industrial Processes and Their Applications

Language: English

Published by Springer, Springer Aug 2018, 2018

3319940503 / 9783319940502

Series: Book 2 of 9 - Information Fusion and Data Science

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This item is printed on demand - Print on Demand Titel. Neuware -This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also addressed and analyzed. The case studies in this volume are entirely rooted in both classical data-driven prediction problems and industrial practice requirements. Detailed figures and tables demonstrate the effectiveness and generalization of the methods addressed, and the classifications of the addressed prediction problems come from practical industrial demands, rather than from academic categories. As such, readers will learn the corresponding approaches for resolving their industrial technical problems. Although the contents of this book and its case studies come from the steel industry, these techniques can be also used for other process industries. This book appeals to students, researchers, and professionals withinthe machine learning and data analysis and mining communities.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 460 pp. Englisch.

Seller Inventory # 9783319940502

Title
Data-Driven Prediction for Industrial Processes and Their Applications
Author
Jun Zhao
Publisher
Springer, Springer Aug 2018
Publication year
2018
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319940503
ISBN 13
9783319940502
Item weight
852 grams
Dimensions
241x160x31 mm
Series
Book 2 of 9: Information Fusion and Data Science

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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