Dynamic hybrid modeling of LSTM-boosted mechanism and adversarial generation for industrial fuel ethanol fermentation process-Reference-Cited by-同舟云学术

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Dynamic hybrid modeling of LSTM-boosted mechanism and adversarial generation for industrial fuel ethanol fermentation process

Published:2023-11 Issue: Volume:131 Page:103093
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Li Xinzhe,Yan Xuefeng^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference45 articles.

1. Complex yeast-bacteria interactions affect the yield of industrial ethanol fermentation;Lino;Nat. Commun.,2021

2. Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes;Liu;J. Process Control.,2023

3. In situ extractive ethanol fermentation in a drop column bioreactor;Lemos;J. Chem. Technol. Biotechnol.,2018

4. Mathematical modeling of fed-batch ethanol fermentation under very high gravity and high cell density at different temperatures;Veloso;Appl. Biochem. Biotechnol.,2022

5. A data-based hybrid model for complex fuel chemistry acceleration at high temperatures;Alqahtani;Combust. Flame.,2021

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