Neural network-based prediction of actively controlled sweep events in a fully turbulent channel flow
This study investigates the use of a feed-forward neural network (FNN) and a hybrid approach combining an FNN with proper orthogonal decomposition (POD) to estimate the effect of control on sweep events within an opposition control framework. Conditionally averaged sweep events (CASEs) were experimentally sampled in a...