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
No file

Dates and versions

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

Identifiers

Cite

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⟩
0 View
0 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More