Feasibility of ANFIS-PSO and ANFIS-GA Models in Predicting Thermophysical Properties of Al(2)O(3)-MWCNT/Oil Hybrid Nanofluid

The main purpose of the present paper is to improve the performance of the adaptive neuro-fuzzy inference system (ANFIS) in predicting the thermophysical properties of Al(2)O(3)-MWCNT/thermal oil hybrid nanofluid through mixing using metaheuristic optimization techniques. A literature survey showed...

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Detalles Bibliográficos
Autores principales: Alarifi, Ibrahim M., Nguyen, Hoang M., Naderi Bakhtiyari, Ali, Asadi, Amin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862245/
https://www.ncbi.nlm.nih.gov/pubmed/31690020
http://dx.doi.org/10.3390/ma12213628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862245/
https://www.ncbi.nlm.nih.gov/pubmed/31690020
http://dx.doi.org/10.3390/ma12213628

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