Artificial neural network modeling for predicting thermal conductivity of EG/water-based CNC nanofluid for engine cooling using different activation functions

Artificial neural network modeling for predicting thermal conductivity of EG/water-based CNC nanofluid for engine cooling using different activation functions

A vehicle engine cooling system is of utmost importance to ensure that the engine operates in a safe temperature range. In most radiators that are used to cool an engine, water serves as a cooling fluid. Performance of a radiator in terms of heat transmission is significantly influenced by the incor...

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Bibliographic Details
Main Authors: Hasan, Md. Munirul, Rahman, Md Mustafizur, Suraya, Abu Bakar, Islam, Mohammad Saiful, Wong, Hung Chan, Alginahi, Yasser M., Kabir, M. N., Devarajan, R.
Format: Article
Language:English
Published: Tech Science Press 2024
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/40574/1/Artificial%20neural%20network%20modeling%20for%20predicting%20thermal%20conductivity.pdf

Internet

http://umpir.ump.edu.my/id/eprint/40574/1/Artificial%20neural%20network%20modeling%20for%20predicting%20thermal%20conductivity.pdf

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