Novel Recurrent neural networks for efficient heat transfer analysis in radiative moving porous triangular fin with heat generation

This paper investigates the use of Artificial Intelligence (AI), notably Recurrent Neural Networks (RNNs), to analyze heat transfer in moving radiative porous triangular systems with heat generation (HTMPTHG). AI-based RNN models are employed to simulate and forecast the complex heat transfer behavi...

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Bibliographic Details

Published in:	Case Studies in Thermal Engineering
Main Authors:	Sana Ullah Saqib, Umar Farooq, Nahid Fatima, Yin-Tzer Shih, Ahmed Mir, Lioua Kolsi
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Subjects:	Permeable fin in a triangle form Convection radiation fin effectiveness Recurrent neural networks (RNNs) Lobatto III-A technique AI-Based intelligent computing
Online Access:	http://www.sciencedirect.com/science/article/pii/S2214157X24015478