A recurrent neural network approach for magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect
Aamra Urooj,
Muhammad Shoaib Kamran,
Muhammad Asif Zahoor Raja
et al.
Abstract:Artificial neural networks (ANNs) with feedback loops known as recurrent neural networks (RNNs) are appropriate for handling temporal dependencies. The accuracy of the results in computational fluid dynamics (CFD) has gradually improved with the integration of artificial intelligence (AI) with CFD. This research article aims to decipher the dynamics of magneto‐hydro‐dynamic flow of second‐grade fluid with dissipation effect (MHD‐FSGF‐DE) using the Levenberg–Marquardt backpropagation (LMB) based on RNNs (LMB‐RN… Show more
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