Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors
Abstract 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-p...
Guardado en:
| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Portfolio
2021-01-01
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| Colección: | Scientific Reports |
| Acceso en línea: | https://doi.org/10.1038/s41598-021-81514-y |
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