A Causal Model-Inspired Automatic Feature-Selection Method for Developing Data-Driven Soft Sensors in Complex Industrial Processes
The soft sensing of key performance indicators (KPIs) plays an essential role in the decision-making of complex industrial processes. Many researchers have developed data-driven soft sensors using cutting-edge machine learning (ML) or deep learning (DL) models. Moreover, feature selection is a cruci...
Main Authors: | Yan-Ning Sun, Wei Qin, Jin-Hua Hu, Hong-Wei Xu, Poly Z.H. Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-03-01
|
Series: | Engineering |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2095809922005641 |
Similar Items
-
Micro/Nano Soft Film Sensors for Intelligent Plant Systems: Materials, Fabrications, and Applications
by: Qin Jiang, et al.
Published: (2023-03-01) -
Integracja Big Data i Business Intelligence jako innowacyjne rozwiązanie wspomagające funkcjonowanie nowoczesnych organizacji
by: Łukasz Bielak, et al.
Published: (2016-11-01) -
Computational Science and Technology : 5th ICCST 2018, Kota Kinabalu, Malaysia, 29-30 August 2018 /
by: International Conference on Computational Science and Technology (ICCST 2018) (5th: 2018 : Kota Kinabalu, Malaysia), organizer, et al.
Published: (2019) -
Soft computing /
by: 461497 Pratihar, Dilip Kumar
Published: (2008) -
Proposed Business Intelligence Systemthrough Big Data
by: Hasanen S. Abdullah, et al.
Published: (2016-04-01)