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Modeling the fuel flow-rate of transport aircraft during flight phases using genetic algorithm-optimized neural networks

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dc.contributor.authorBaklacıoğlu, Tolga
dc.contributor.orcid0000-0002-9600-2697
dc.date.accessioned2025-11-13T09:16:58Z
dc.date.issued2015-11-30
dc.identifier.doihttps://doi.org/10.1016/j.ast.2015.11.031
dc.identifier.endpage62
dc.identifier.issn1270-9638
dc.identifier.openalexW2283793547
dc.identifier.startpage52
dc.identifier.urihttps://hdl.handle.net/11421/1001
dc.identifier.urihttps://doi.org/10.1016/j.ast.2015.11.031
dc.identifier.volume49
dc.language.isoen
dc.relation.ispartofAerospace Science and Technology
dc.rightsrestrictedAccess
dc.subjectArtificial neural network
dc.subjectClimb
dc.subjectGenetic algorithm
dc.subjectFuel efficiency
dc.subjectBackpropagation
dc.subjectAirspeed
dc.subjectLevenberg–Marquardt algorithm
dc.subjectEngineering
dc.subjectDescent (aeronautics)
dc.subjectCruise
dc.subjectRprop
dc.subjectAlgorithm
dc.subjectTrajectory
dc.subjectSimulation
dc.subjectComputer science
dc.subjectAutomotive engineering
dc.subjectAerospace engineering
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subjectRecurrent neural network
dc.subject.sdg7
dc.titleModeling the fuel flow-rate of transport aircraft during flight phases using genetic algorithm-optimized neural networks
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5045422068

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