Liquid-Liquid Dispersion Performance Prediction and Uncertainty Quantification Using Recurrent Neural Networks

We demonstrate the application of a recurrent neural network (RNN) to perform multistep and multivariate time-series performance predictions for stirred and static mixers as exemplars of complex multiphase systems. We employ two network architectures in this study, fitted with either long short-term...

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Vydané v:	Industrial & engineering chemistry research Ročník 63; číslo 17; s. 7853
Hlavní autori:	Liang, Fuyue, Valdes, Juan P, Cheng, Sibo, Kahouadji, Lyes, Shin, Seungwon, Chergui, Jalel, Juric, Damir, Arcucci, Rossella, Matar, Omar K
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.05.2024
ISSN:	0888-5885
On-line prístup:	Zistit podrobnosti o prístupe
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