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Using machine learning to predict core sizes of high-efficiency turbofan engines /

Bibliographic Details
Main Author: Tong, Michael T. (Author)
Format: Government Document eBook
Language:English
Published: Cleveland, Ohio : National Aeronautics and Space Administration, Glenn Research Center, August 2019.
Series:NASA technical memorandum ; 2019-220307.
Subjects:
Algorithms.
Turbofan engines.
Lessons learned.
NASA programs.
Data bases.
Online Access:https://purl.fdlp.gov/GPO/gpo126237
Description
Item Description:"August 2019."
"GT2019-91432."
Physical Description:1 online resource (12 pages) : illustrations (mostly color).
Bibliography:Includes bibliographical references (page 12).