Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Computers & Chemical Engineering Year : 2024

Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations

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Environmental Sciences

Carlos Eduardo Robles Rodriguez  : Connect in order to contact the contributor

https://hal.inrae.fr/hal-04678623

Submitted on : Tuesday, August 27, 2024-11:14:21 AM

Last modification on : Wednesday, August 28, 2024-3:19:42 AM

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hal-04678623 , version 1 (27-08-2024)

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Juan Camilo Acosta-Pavas, Carlos Eduardo Robles-Rodriguez, David Griol, Fayza Daboussi, Cesar Arturo Aceves-Lara, et al.. Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations. Computers & Chemical Engineering, 2024, 187, pp.108736. ⟨10.1016/j.compchemeng.2024.108736⟩. ⟨hal-04678623⟩

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