Skip to Main content Skip to Navigation
New interface
Journal articles

Multi-output machine learning models for kinetic data evaluation : A Fischer–Tropsch synthesis case study

Document type :
Journal articles
Complete list of metadata

https://hal-cnrs.archives-ouvertes.fr/hal-03863277
Contributor : Andrei Khodakov Connect in order to contact the contributor
Submitted on : Monday, November 21, 2022 - 1:21:53 PM
Last modification on : Saturday, November 26, 2022 - 3:48:06 AM

Identifiers

Collections

Citation

Anoop Chakkingal, Pieter Janssens, Jeroen Poissonnier, Mirella Virginie, Andrei Khodakov, et al.. Multi-output machine learning models for kinetic data evaluation : A Fischer–Tropsch synthesis case study. Chemical Engineering Journal, 2022, 446, pp.137186. ⟨10.1016/j.cej.2022.137186⟩. ⟨hal-03863277⟩

Share

Metrics

Record views

0