On stable wrapper-based parameter selection method for efficient ANN-based data-driven modeling of turbulent flows

To model complex turbulent flow and heat transfer phenomena, this study aims to analyze and develop a reduced modeling approach based on artificial neural network (ANN) and wrapper methods. This approach has an advantage over other methods such as the correlation-based filter method in terms of remo... View More