Data-Driven Prediction for Industrial Processes and Their Applications
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...
| Main Authors: | , , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | Information Fusion and Data Science,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-94051-9 |