Open AccessA tailored Machine Learning Surrogate to improve Rotorcraft Trajectory Design
Author(s) -
Pierre Dieumegard,
Sonia Cafieri,
Daniel Delahaye,
John Hansman
Publication year - 2022
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - trajectory , surrogate model , computer science , artificial intelligence , control engineering , engineering , machine learning , physics , astronomy