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Dynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks

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dc.contributor.authorTolga Baklacıoğlu
dc.contributor.authorBaklacıoğlu, Tolga
dc.contributor.authorÖnder Turan
dc.contributor.authorTuran, Önder
dc.contributor.authorCengiz Hakan Aydın
dc.contributor.orcid0000-0002-9600-2697
dc.contributor.orcid0000-0003-0303-4313
dc.contributor.orcid0000-0002-9186-1791
dc.date.accessioned2025-11-13T09:15:40Z
dc.date.issued2015-05-15
dc.identifier.doi10.1016/j.energy.2015.04.025
dc.identifier.endpage721
dc.identifier.issn0360-5442
dc.identifier.openalexW1606847930
dc.identifier.scopus2-s2.0-84931564735
dc.identifier.startpage709
dc.identifier.urihttps://hdl.handle.net/11421/931
dc.identifier.urihttps://doi.org/10.1016/j.energy.2015.04.025
dc.identifier.volume86
dc.identifier.wos000356986300064
dc.language.isoen
dc.relation.ispartofEnergy
dc.rightsrestrictedAccess
dc.subjectTurboprop
dc.subjectArtificial neural network
dc.subjectGenetic algorithm
dc.subjectEngineering
dc.subjectBackpropagation
dc.subjectExergy
dc.subjectTurbine
dc.subjectControl theory (sociology)
dc.subjectPropeller
dc.subjectPower (physics)
dc.subjectComputer science
dc.subjectAutomotive engineering
dc.subjectMechanical engineering
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subject.sdg7
dc.titleDynamic modeling of exergy efficiency of turboprop engine components using hybrid genetic algorithm-artificial neural networks
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5045422068
local.authorid.openalexA5079427167

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