A well-trained artificial neural network (ANN) using the trainlm algorithm for predicting the rheological behavior of water – Ethylene glycol/WO3 – MWCNTs nanofluid

Journal article

Peer reviewed

Guangli Fan, El-Shafay A.S., S. Ali Eftekhari, Maboud Hekmatifar, Davood Toghraie, Amin Salih Mohammed, Afrasyab Khan and A.S. El-Shafay

International communications in heat and mass transfer, Vol.131, p.105857

02/2022

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Title: A well-trained artificial neural network (ANN) using the trainlm algorithm for predicting the rheological behavior of water – Ethylene glycol/WO3 – MWCNTs nanofluid
Creators - without role: Guangli Fan - Xijing University
El-Shafay A.S. - Mansoura University
S. Ali Eftekhari - Islamic Azad University of Khomeynishahr
Maboud Hekmatifar - Islamic Azad University of Khomeynishahr
Davood Toghraie - Islamic Azad University of Khomeynishahr
Amin Salih Mohammed - Salahaddin University-Erbil
Afrasyab Khan - South Ural State University
A.S. El-Shafay - Prince Sattam Bin Abdulaziz University
Publication Details: International communications in heat and mass transfer, Vol.131, p.105857
Identifiers: 9925554108331
Academic Unit: Prince Sattam Bin Abdulaziz University
Language: English
Resource Type: Journal article