What is it about?

This paper presents an approach to predict the air velocity on a helicopter rotor using machine learning. This is accomplished using lower accuracy velocity data and a limited amount of high accuracy velocity data. The purpose is to make predictions closer to the high accuracy data because takes too long to collect large quantities of it.

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This page is a summary of: XGBoost Gradient-Boosted Tree Predictions Using Limited Data for Coaxial Rotor Helicopters, Journal of Aerospace Information Systems, December 2021, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i010983.
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