MASCHINELLES LERNEN IN DER LUFTFAHRTTECHNIK

摘要

The document relates to systems and methods for managing the flight of an aircraft, comprising the steps of receiving data (200) from records of the flight of an aircraft; said data comprising data from sensors and / or data from on-board avionics; determining the aircraft state at a point N (220) from the received data (200); determining the state of the plane at point N + 1 (240) from the state of the plane at point N (220), by applying a model learned by automatic learning (292). Developments describe the use of flight parameters SEP, FF and NI; unsupervised, offline and / or online machine learning, using a variety of algorithms and neural networks. Software aspects are described.]