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Selbstlernende aerodynamische Modelle

Görtz, Stefan (2019) Selbstlernende aerodynamische Modelle. Künstliche Intelligenz in der Luft- und Raumfahrt, 09. Okt. 2019, Garching, Germany. (Unpublished)

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Item URL in elib:https://elib.dlr.de/131355/
Document Type:Conference or Workshop Item (Speech)
Title:Selbstlernende aerodynamische Modelle
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Görtz, StefanStefan.Goertz (at) dlr.deUNSPECIFIED
Date:9 October 2019
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Unpublished
Keywords:machine learning, artificial intelligence, CFD, aerodynamics, regression, clustering, dimensionality reduction, data fusion
Event Title:Künstliche Intelligenz in der Luft- und Raumfahrt
Event Location:Garching, Germany
Event Type:Workshop
Event Dates:09. Okt. 2019
Organizer:DGLR, Fachausschuss Q3.4 Softwareengineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation and Validation, L - VicToria
Location: Braunschweig
Institutes and Institutions:Institute for Aerodynamics and Flow Technology > CASE, BS
Deposited By: Görtz, Stefan
Deposited On:07 Jan 2020 10:42
Last Modified:07 Jan 2020 10:42

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