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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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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7820399/ https://ncbi.nlm.nih.gov/pubmed/33479358 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-81514-y |
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