Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models

Title
Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models
Authors
Keywords
Machine learning, Explainable machine learning, Hybrid modeling, First principles modeling, Process engineering, Virtual flow metering
Journal
COMPUTERS & CHEMICAL ENGINEERING
Volume 138, Issue -, Pages 106834
Publisher
Elsevier BV
Online
2020-04-19
DOI
10.1016/j.compchemeng.2020.106834

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