Performance evaluation of various training functions using ANN to predict the thermal conductivity of EG/water-based GNP/CNC hybrid nanofluid for heat transfer application

Performance evaluation of various training functions using ANN to predict the thermal conductivity of EG/water-based GNP/CNC hybrid nanofluid for heat transfer application

Thermal management efciency is still a signifcant problem in many industries and techniques due to the ultimate limitations in the performance of conventional heat transfer fuids. The present research focuses on predicting the thermophysical properties of hybrid graphene nanoplatelet (GNP) and cellu...

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Bibliographic Details
Main Authors: Md Munirul, Hasan, Md Mustafizur, Rahman, Suraya, Abu Bakar, Kabir, Muhammad Nomani, Ramasamy, Devarajan, A. H. M., Saifullah Sadi
Format: Article
Language:English
Published: Springer Science and Business Media B.V. 2025
Subjects:
QA75 Electronic computers. Computer science
TJ Mechanical engineering and machinery
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/44826/
http://umpir.ump.edu.my/id/eprint/44826/1/Performance%20evaluation%20of%20various%20training%20functions%20using%20ANN.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44826/
http://umpir.ump.edu.my/id/eprint/44826/1/Performance%20evaluation%20of%20various%20training%20functions%20using%20ANN.pdf

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