Deep learning approach for prediction of exergy and emission parameters of commercial high by-pass turbofan engines
Crossref DOI link: https://doi.org/10.1007/s11356-022-24109-y
Published Online: 2022-11-16
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Dursun, Omer Osman
Toraman, Suat
Aygun, Hakan https://orcid.org/0000-0001-9064-9644
Text and Data Mining valid from 2022-11-16
Version of Record valid from 2022-11-16
Article History
Received: 26 May 2022
Accepted: 4 November 2022
First Online: 16 November 2022
Declarations
:
: Not applicable.
: The authors declare no competing interests.