Applying different machine learning algorithms to predict the viscosity behavior of MWCNT–alumina/water–ethylene glycol (80:20) hybrid antifreeze

Applying different machine learning algorithms to predict the viscosity behavior of MWCNT–alumina/water–ethylene glycol (80:20) hybrid antifreeze

While machine learning has become the new way of analyzing data, neutral networks form the basis of this revolutionary technology. In this work, we shall employ the power of neural networks to analyze and demystify the processes in nanofluids. By combining the precision of neural networks with the o...

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Bibliographic Details
Main Authors: Shaymaa Abed Hussein, Ihab Omar, Ali B. Saddam, Mohammadreza Baghoolizadeh, Soheil Salahshour, Mostafa Pirmoradian
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:International Journal of Thermofluids
Subjects:
Hybrid antifreeze
Machine learning algorithm
MLP neural network
Viscosity behavior
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202724004063
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