Yayın: Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks
| dc.contributor.author | Baklacıoğlu, Tolga | |
| dc.contributor.author | Turan, Önder | |
| dc.contributor.author | Cengiz Hakan Aydın | |
| dc.contributor.orcid | 0000-0002-9600-2697 | |
| dc.contributor.orcid | 0000-0003-0303-4313 | |
| dc.contributor.orcid | 0000-0002-9186-1791 | |
| dc.date.accessioned | 2025-11-13T09:15:40Z | |
| dc.date.issued | 2015-05-15 | |
| dc.identifier.doi | https://doi.org/10.1016/j.energy.2015.04.025 | |
| dc.identifier.endpage | 721 | |
| dc.identifier.issn | 0360-5442 | |
| dc.identifier.openalex | W1606847930 | |
| dc.identifier.startpage | 709 | |
| dc.identifier.uri | https://hdl.handle.net/11421/931 | |
| dc.identifier.uri | https://doi.org/10.1016/j.energy.2015.04.025 | |
| dc.identifier.volume | 86 | |
| dc.language.iso | en | |
| dc.relation.ispartof | Energy | |
| dc.rights | restrictedAccess | |
| dc.subject | Turboprop | |
| dc.subject | Artificial neural network | |
| dc.subject | Genetic algorithm | |
| dc.subject | Engineering | |
| dc.subject | Backpropagation | |
| dc.subject | Exergy | |
| dc.subject | Turbine | |
| dc.subject | Control theory (sociology) | |
| dc.subject | Propeller | |
| dc.subject | Power (physics) | |
| dc.subject | Computer science | |
| dc.subject | Automotive engineering | |
| dc.subject | Mechanical engineering | |
| dc.subject | Artificial intelligence | |
| dc.subject | Machine learning | |
| dc.subject.sdg | 7 | |
| dc.title | Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| local.authorid.openalex | A5045422068 | |
| local.authorid.openalex | A5079427167 |
