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Propulsive Modeling for TF-30 and JT9D-3 Turbofan Engines of Transport Aircraft by Using Genetic Algorithms and Neural Networks

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dc.contributor.authorBaklacıoğlu, Tolga
dc.contributor.orcid0000-0002-9600-2697
dc.date.accessioned2025-11-13T11:32:00Z
dc.date.issued2015-10-19
dc.identifier.doihttps://doi.org/10.4028/www.scientific.net/amm.799-800.885
dc.identifier.endpage889
dc.identifier.issn1660-9336
dc.identifier.openalexW2247579745
dc.identifier.startpage885
dc.identifier.urihttps://hdl.handle.net/11421/7110
dc.identifier.urihttps://doi.org/10.4028/www.scientific.net/amm.799-800.885
dc.identifier.volume799-800
dc.language.isoen
dc.relation.ispartofApplied Mechanics and Materials
dc.rightsrestrictedAccess
dc.subjectTurbofan
dc.subjectThrust
dc.subjectArtificial neural network
dc.subjectGenetic algorithm
dc.subjectPropulsive efficiency
dc.subjectAerospace engineering
dc.subjectMach number
dc.subjectJet engine
dc.subjectComputer science
dc.subjectEngineering
dc.subjectAlgorithm
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subject.sdg9
dc.titlePropulsive Modeling for TF-30 and JT9D-3 Turbofan Engines of Transport Aircraft by Using Genetic Algorithms and Neural Networks
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5045422068

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