Estimation of quality variables in a continuous train of reactors using recurrent neural networks-based soft sensors-Reference-Cited by-同舟云学术

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Estimation of quality variables in a continuous train of reactors using recurrent neural networks-based soft sensors

Published:2024-10 Issue: Volume:253 Page:105204
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Perdomo Mariano M.,Clementi Luis A.,Vega Jorge R.

Funder

CONICET

Publisher

Elsevier BV

Reference27 articles.

1. Deep learning spatiotemporal attention-based LSTM for industrial soft sensor model development;Yuan;IEEE Trans. Ind. Electron.,2020

2. The role of artificial intelligence-driven soft sensors in advanced sustainable process industries: a critical review;Perera;Eng. Appl. Artif. Intell.,2023

3. Supervised attention-based bidirectional long short-term memory network for nonlinear dynamic soft sensor application;Yang;ACS Omega,2023

4. General introduction to rubber compounding. Progr;Sisanth;in Rubber Nanocomposites,2017

5. Dynamic modelling of the batch, semi-batch and continuous production of styrene/butadiene copolymers by emulsion polymerization;Broadhead;Makromol. Chem.: Macromol. Chem. Phys.,1985

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