Input Structure Selection for Soft-Sensor Design: Does It Pay Off?
Author:
Affiliation:
1. Slovak University of Technology in Bratislava,Bratislava,Slovakia
2. Slovnaft, a.s.,Bratislava,Slovakia
Funder
Research and Development
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217213/10217226/10217528.pdf?arnumber=10217528
Reference32 articles.
1. Development of a machine learning-based soft sensor for an oil refinery’s distillation column
2. A Cross-Validated Feature Selection (CVFS) approach for extracting the most parsimonious feature sets and discovering potential antimicrobial resistance (AMR) biomarkers
3. Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution
4. Gaussian Processes for Machine Learning
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