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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...
Tallennettuna:
| Julkaisussa: | Sci Rep |
|---|---|
| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2017
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| Aiheet: | |
| 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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