Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors

To understand impact of input and output parameters during optimization and degree of complexity, in the current study we numerically designed a bubble column reactor with a single sparger in the middle of the reactor. After that, some input and output parameters were selected in the post-processing...

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Detalles Bibliográficos
Autores principales: Pelalak, Rasool, Nakhjiri, Ali Taghvaie, Marjani, Azam, Rezakazemi, Mashallah, Shirazian, Saeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820399/
https://www.ncbi.nlm.nih.gov/pubmed/33479358
http://dx.doi.org/10.1038/s41598-021-81514-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7820399/
https://www.ncbi.nlm.nih.gov/pubmed/33479358
http://dx.doi.org/10.1038/s41598-021-81514-y

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