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Applications of Machine Learning to Flight Dynamics OperationsNo abstract available
Document ID
20190001375
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Slojkowski, Steven (Omitron, Inc. Greenbelt, MD, United States)
Getchius, Joel (Omitron, Inc. Greenbelt, MD, United States)
Adam Z Michaels (Goddard Space Flight Center Greenbelt, United States)
Mattern, Daniel (Omitron, Inc. Greenbelt, MD, United States)
Aslan, Arda (Omitron, Inc. Greenbelt, MD, United States)
Deboeck, Toni (Omitron, Inc. Greenbelt, MD, United States)
Patterson, Ryan (Omitron, Inc. Greenbelt, MD, United States)
Crenshaw, Juan (Omitron, Inc. Greenbelt, MD, United States)
Ward, Douglas (Omitron, Inc. Greenbelt, MD, United States)
Schrift, Travis (Omitron, Inc. Greenbelt, MD, United States)
Date Acquired
March 8, 2019
Publication Date
November 27, 2018
Subject Category
Aircraft Design, Testing And Performance
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
Report Number: GSFC-E-DAA-TN62566
GSFC-E-DAA-TN62566
Meeting Information
Meeting: NASA Goddard Workshop on Artificial Intelligence
Location: Greenbelt, MD
Country: United States
Start Date: November 27, 2018
End Date: November 29, 2018
Sponsors: NASA Goddard Space Flight Center
Funding Number(s)
CONTRACT_GRANT: NNG14VC09C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Machine Learning
Tracking Data Evaluation
Flight Dynamics

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