Data-Driven Prediction for Industrial Processes and Their Applications (Information Fusion and Data Science)

By: Jun Zhao and Wei Wang and Chunyang Sheng

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Synopsis: 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 within the machine learning and data analysis and mining communities.

Book Quality:: Publisher Quality
ISBN-13:: 9783319940519
Related ISBNs:: 9783319940502
Publisher:: Springer International Publishing
Date of Addition:: 08/20/18
Copyrighted By:: Springer
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Technology
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.