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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2021
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| Materias: | |
| 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 |