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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Bibliografiske detaljer
Udgivet i:Sci Rep
Main Authors: Amani, Mohammad, Amani, Pouria, Kasaeian, Alibakhsh, Mahian, Omid, Pop, Ioan, Wongwises, Somchai
Format: Artigo
Sprog:Inglês
Udgivet: Nature Publishing Group UK 2017
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Article
Online adgang: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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