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

Libro 2 de 9: Information Fusion and Data Science

Zhao, Jun; Wang, Wei; Sheng, Chunyang

 
9783030067854: Data-Driven Prediction for Industrial Processes and Their Applications (Information Fusion and Data Science)
Tapa blanda
ISBN 10: 3030067858 ISBN 13: 9783030067854
Editorial: Springer, 2018

Sinopsis

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.

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Acerca del autor

Jun Zhao is currently a Professor with the School of Control Science and Engineering, Dalian University of Technology, China.

Chunyang Sheng is currently a lecturer with the School of Electrical Engineering and Automation, Shandong University of Science and Technology, China. 

Wei Wang is currently a Professor with the School of Control Science and Engineering, Dalian University of Technology, China.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2018
Idioma
Inglés
ISBN 10 
3030067858
ISBN 13 
9783030067854
Encuadernación
Tapa blanda
Número de páginas
460
Contacto del fabricante
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Otras ediciones populares con el mismo título

9783319940502: Data-Driven Prediction for Industrial Processes and Their Applications (Information Fusion and Data Science)

Edición Destacada

ISBN 10:  3319940503 ISBN 13:  9783319940502
Editorial: Springer, 2018
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