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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Bibliografiset tiedot
Julkaisussa:Sci Rep
Päätekijät: Amani, Mohammad, Amani, Pouria, Kasaeian, Alibakhsh, Mahian, Omid, Pop, Ioan, Wongwises, Somchai
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group UK 2017
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Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5727064/
https://ncbi.nlm.nih.gov/pubmed/29234090
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-17444-5
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