The implementation of artificial neural networks for the multivariable optimization of mesoporous NiO nanocrystalline: biodiesel application

In the present research, artificial neural network (ANN) modelling was utilized to determine the relative importance of effective variables to achieve optimum specific surface areas of a synthesized catalyst. Initially, carbonaceous nanocrystalline mesoporous NiO core–shell solid sphere composites w...

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Detalles Bibliográficos
Autores principales: Soltani, Soroush, Shojaei, Taha Roodbar, Khanian, Nasrin, Yaw Choong, Thomas Shean, Rashid, Umer, Nehdi, Imededdine Arbi, Yusoff, Rozita Binti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2020
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051417/
https://www.ncbi.nlm.nih.gov/pubmed/35492091
http://dx.doi.org/10.1039/d0ra00892c

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051417/
https://www.ncbi.nlm.nih.gov/pubmed/35492091
http://dx.doi.org/10.1039/d0ra00892c

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