What is it about?
In previous works to provide a model to predict the wall-pressure spectrum, a set of predefined parameters of the turbulent boundary layer were arbitrary chosen. In this work, it is the Artificial Neural Network the one that finds out what information is more relevant in the boundary layer to perform wall-pressure spectrum predictions.
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This page is a summary of: Artificial Neural Networks Prediction of Wall-Pressure Spectrum: A Boundary-Layer Insight, AIAA Journal, April 2026, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.j066051.
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