Yayın: Metaheuristic and Machine Learning Models for TFE-731-2, PW4056, and JT8D-9 Cruise Thrust
| dc.contributor.author | Baklacıoğlu, Tolga | |
| dc.contributor.orcid | 0000-0002-9600-2697 | |
| dc.date.accessioned | 2025-11-13T10:14:29Z | |
| dc.date.issued | 2017-01-01 | |
| dc.identifier.doi | https://doi.org/10.1515/tjj-2016-0002 | |
| dc.identifier.issn | 0334-0082 | |
| dc.identifier.issue | 3 | |
| dc.identifier.openalex | W2744997491 | |
| dc.identifier.uri | https://hdl.handle.net/11421/3552 | |
| dc.identifier.uri | https://doi.org/10.1515/tjj-2016-0002 | |
| dc.identifier.volume | 34 | |
| dc.language.iso | en | |
| dc.relation.ispartof | International Journal of Turbo and Jet Engines | |
| dc.rights | restrictedAccess | |
| dc.subject | Artificial neural network | |
| dc.subject | Thrust | |
| dc.subject | Fuel efficiency | |
| dc.subject | Cruise | |
| dc.subject | Conjugate gradient method | |
| dc.subject | Genetic algorithm | |
| dc.subject | Computer science | |
| dc.subject | Metaheuristic | |
| dc.subject | Mach number | |
| dc.subject | Machine learning | |
| dc.subject | Artificial intelligence | |
| dc.subject | Engineering | |
| dc.subject | Algorithm | |
| dc.subject | Simulation | |
| dc.subject | Automotive engineering | |
| dc.subject | Aerospace engineering | |
| dc.subject.sdg | 7 | |
| dc.title | Metaheuristic and Machine Learning Models for TFE-731-2, PW4056, and JT8D-9 Cruise Thrust | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5045422068 |
