Verfahren zum Trainieren eines Neuronalen Netzes zur Steuerung eines Flugzeugsystems
Anmelder: Airbus Operations Limited, Airbus S.A.S. 🇬🇧
Details
- Veröffentlichungs-Nr.
- EP4052974
- Aktenzeichen
- EP22159778
- Anmeldetag
- 2. März 2022
- Veröffentlichung
- 21. Dezember 2022
- Rechtsraum
- EP
- IPC
- B60T8/174G06N3/08B64C13/50
Abstract
Disclosed is a method of training a neural network to control an aircraft system having a plurality of components. The method includes obtaining an operational mode data space representing a set of operational modes for the aircraft system, wherein each operational mode represents a configuration of the aircraft system where performance of one or more of the plurality of components is impaired according to a model of the aircraft system. Each operational mode comprises probability data indicating a respective probability of the operational mode occurring, according to the model of the aircraft system. The method includes generating a reduced operational mode data space comprising operational modes having a probability greater than a theoretical operational probability threshold, and generating a training operational mode data space comprising operational modes within the reduced operational mode data space that have a probability less than a real-world operational probability threshold. The method includes training the neural network using operational modes within the training operational mode data space.
Anmelder
- Firmen
- Airbus Operations Limited
Airbus S.A.S. - Land
- 🇬🇧 Großbritannien
Deutsche Tochtergesellschaft des europäischen Luft- und Raumfahrtkonzerns Airbus mit Standorten wie Hamburg. Entwickelt und fertigt Flugzeugstrukturen und Komponenten für die zivile Luftfahrt.
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