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1 Ergebnisse
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A Feature Importance Analysis for Soft-Sensing-Based Predic..:
, In:
2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)
,
Garcia-Ceja, Enrique
;
Hugo, Asmund
;
Morin, Brice
... - p. 62-66 , 2020
Link:
https://doi.org/10.1109/ICPS48405.2020.9274769
RT T1 <cTitle>2020 IEEE Conference on Industrial Cyberphysical Systems (ICPS)</cTitle>: T1 <Title>A Feature Importance Analysis for Soft-Sensing-Based Predictions in a Chemical Sulphonation Process</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9274769&Exemplar=1&LAN=DE A1 Garcia-Ceja, Enrique A1 Hugo, Asmund A1 Morin, Brice A1 Hansen, Per Olav A1 Martinsen, Espen A1 Lam, An Ngoc A1 Haugen, Oystein YR 2020 K1 Vegetation K1 Regression tree analysis K1 Correlation K1 Sulfur K1 Predictive models K1 Linear regression K1 Random forests K1 feature selection K1 machine learning K1 sulphonation K1 chemical K1 prediction SP 62 OP 66 LK http://dx.doi.org/https://doi.org/10.1109/ICPS48405.2020.9274769 DO https://doi.org/10.1109/ICPS48405.2020.9274769 SF ELIB - SuUB Bremen
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