Modeling and simulation of the enzymatic kinetics for the production of Galactooligosaccharides (GOS) using an Artificial Neural Network hybrid model-Reference-Cited by-同舟云学术

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Modeling and simulation of the enzymatic kinetics for the production of Galactooligosaccharides (GOS) using an Artificial Neural Network hybrid model

Published:2023-12 Issue: Volume:9 Page:100132
ISSN:2772-5081
Container-title:Digital Chemical Engineering
language:en
Short-container-title:Digital Chemical Engineering

Author:

Hoyos Juan D.^ORCID,Noriega Mario A.^ORCID,Riascos Carlos A.M.^ORCID

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Chemical Engineering (miscellaneous)

Reference40 articles.

1. Physics-informed neural networks for hybrid modeling of lab-scale batch fermentation for β-carotene production using Saccharomyces cerevisiae;Bangi;Chem. Eng. Res. Des.,2022

2. Deep hybrid modeling of chemical process: application to hydraulic fracturing;Bangi;Comput. Chem. Eng.,2020

3. Deep hybrid model-based predictive control with guarantees on domain of applicability;Bangi;AlChE J.,2023

4. Bravo, S., Diez, M.C., & Shene, C. (2004). Hybrid neural network model for simulating sorbitol synthesis by glucose-fructose oxidoreductase in Zymomonas mobilis CP4. In Printed in Brazil (Vol. 21, Issue 04).

5. Modeling networks of coupled enzymatic reactions using the total quasi-steady state approximation;Ciliberto;PLoS Comput. Biol.,2007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Waste to nutrition: The evolution of whey, a byproduct to galactooligosaccharides production;Food Chemistry Advances;2024-06

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