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Convolutional Neural Network Predictions for Unsteady Reynolds-Averaged Navier–Stokes-Based Numerical Simulations
(MDPI, 2023-01-17)
The application of computational fluid dynamics (CFD) to turbulent flow has been a considerable topic of research for many years. Nonetheless, using CFD tools results in a large computational cost, which implies that, for ...
Modification of Learning Ratio and Drop-Out for Stochastic Gradient Descendant Algorithm
(MDPI, 2023-02-28)
The stochastic gradient descendant algorithm is one of the most popular neural network training algorithms. Many authors have contributed to modifying or adapting its shape and parametrizations in order to improve its ...