Analysis of the tri-hybrid Maxwell nanofluid flow with temperature-dependent thermophysical characteristics on static and dynamic surfaces employing Levenberg-Marquardt artificial neural networks
Author:
Affiliation:
1. Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an, China
2. Department of Mathematics, Air University Multan Campus, Multan, Pakistan
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10407790.2024.2386582
Reference65 articles.
1. Supervised neural networks learning algorithm for three dimensional hybrid nanofluid flow with radiative heat and mass fluxes
2. Artificial neural network modeling of thermal characteristics of WO3-CuO (50:50)/water hybrid nanofluid with a back-propagation algorithm
3. Prediction of viscosity of MWCNT-Al2O3 (20:80)/SAE40 nano-lubricant using multi-layer artificial neural network (MLP-ANN) modeling
4. Heat Transfer Impacts on Maxwell Nanofluid Flow over a Vertical Moving Surface with MHD Using Stochastic Numerical Technique via Artificial Neural Networks
5. Thermal Enhancement in the Ternary Hybrid Nanofluid (SiO2+Cu+MoS2/H2O) Symmetric Flow Past a Nonlinear Stretching Surface: A Hybrid Cuckoo Search-Based Artificial Neural Network Approach
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