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