Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids

Intelligent back-propagated neural networks to study nonlinear heat transfer in tangent-hyperbolic fluids

This paper presents a novel way to analyze unsteady flow and heat transfer in Magnetohydrodynamic Tangent-Hyperbolic Fluid (MHD-THF) flow over a stretching sheet that uses Recurrent Neural Networks (RNNs) optimized with the Levenberg-Marquardt Algorithm (LMA). The controlling PDEs are similarly conv...

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Bibliographic Details
Main Authors: Muhammad Asif Zahoor Raja, Huma Tayyab, Aamna Muskan Malik, Qazi Mahmood Ul Hassan, Kottakkaran Sooppy Nisar, Muhammad Shoaib
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Case Studies in Thermal Engineering
Subjects:
Tangent hyperbolic fluid
Magnetohydrodynamic
Nanofluids
Recurrent neural networks
Levenberg marquardt algorithm
Adams numerical solver
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X24016678
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