Modeling and optimization of thermal conductivity and viscosity of MnFe(2)O(4) nanofluid under magnetic field using an ANN

This research investigates the applicability of an ANN and genetic algorithms for modeling and multiobjective optimization of the thermal conductivity and viscosity of water-based spinel-type MnFe(2)O(4) nanofluid. Levenberg-Marquardt, quasi-Newton, and resilient backpropagation methods are employed...

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Detalles Bibliográficos
Autores principales: Amani, Mohammad, Amani, Pouria, Kasaeian, Alibakhsh, Mahian, Omid, Pop, Ioan, Wongwises, Somchai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727064/
https://www.ncbi.nlm.nih.gov/pubmed/29234090
http://dx.doi.org/10.1038/s41598-017-17444-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5727064/
https://www.ncbi.nlm.nih.gov/pubmed/29234090
http://dx.doi.org/10.1038/s41598-017-17444-5

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