Data-Driven Prediction for Industrial Processes and Their Applications / Information Fusion and Data Science (PDF)
(Sprache: Englisch)
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...
sofort als Download lieferbar
Printausgabe 139.09 €
eBook (pdf) -8%
128.39 €
64 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Data-Driven Prediction for Industrial Processes and Their Applications / Information Fusion and Data Science (PDF)“
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.
Autoren-Porträt von Jun Zhao, Wei Wang, Chunyang Sheng
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.
Bibliographische Angaben
- Autoren: Jun Zhao , Wei Wang , Chunyang Sheng
- 2018, 1st ed. 2018, 443 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319940511
- ISBN-13: 9783319940519
- Erscheinungsdatum: 20.08.2018
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 15 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Data-Driven Prediction for Industrial Processes and Their Applications / Information Fusion and Data Science"
0 Gebrauchte Artikel zu „Data-Driven Prediction for Industrial Processes and Their Applications / Information Fusion and Data Science“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Data-Driven Prediction for Industrial Processes and Their Applications / Information Fusion and Data Science".
Kommentar verfassen