Combining Virtual Sample Generation Based Data Enhancement and Multi-objective Optimization Based Selective Ensemble for Soft Sensor Modeling

Soft sensor modeling technology realizes the real-time estimation of difficult-to-measure variables by constructing the mathematical model between secondary variables and primary variable. Nevertheless, sufficient and high-quality training samples are difficult to obtain owing to the high cost of da...

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Vydané v:	Data Driven Control and Learning Systems Conference (Online) s. 287 - 293
Hlavní autori:	Huang, Shuqi, Jin, Huaiping, Yang, Biao, Liu, Haipeng
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 03.08.2022
Predmet:	Data Enhancement Diversity reception Generative Model Linear programming Multi-objective Optimization Optimization methods Prediction algorithms Predictive models Selective Ensemble Soft Sensor Soft sensors Training
ISSN:	2767-9861
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