A neural network approach to modeling magnetohydrodynamic stagnation point Ree-Eyring flow over a convectively heated stretched surface
Author:
Affiliation:
1. Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu, PR China
2. College of Humanities and Science, Ajman University, Ajman, UAE
3. School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu, PR China
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/02286203.2024.2338579
Reference24 articles.
1. Implication of radiation on the thermal behavior of a partially wetted dovetail fin using an artificial neural network
2. Analysis of Heat Transfer Behavior of Porous Wavy Fin with Radiation and Convection by Using a Machine Learning Technique
3. Heat transfer analysis in a longitudinal porous trapezoidal fin by non-Fourier heat conduction model: An application of artificial neural network with Levenberg–Marquardt approach
4. Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin
5. Design of a hybrid NAR-RBFs neural network for nonlinear dusty plasma system
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