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Prediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks

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dc.contributor.authorTapkın, Serkan
dc.contributor.authorUşar, Ün
dc.contributor.authorÜn Uşar
dc.contributor.orcid0000-0003-1417-9972
dc.contributor.orcid0000-0002-5253-2952
dc.date.accessioned2025-11-13T09:04:07Z
dc.date.issued2009-12-12
dc.identifier.doihttps://doi.org/10.1016/j.eswa.2009.12.042
dc.identifier.endpage4670
dc.identifier.issn0957-4174
dc.identifier.issue6
dc.identifier.openalexW2105489270
dc.identifier.startpage4660
dc.identifier.urihttps://hdl.handle.net/11421/365
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2009.12.042
dc.identifier.volume37
dc.language.isoen
dc.relation.ispartofExpert Systems with Applications
dc.rightsrestrictedAccess
dc.subjectPolypropylene
dc.subjectAsphalt
dc.subjectMaterials science
dc.subjectParametric statistics
dc.subjectArtificial neural network
dc.subjectComposite material
dc.subjectFlow (mathematics)
dc.subjectStability (learning theory)
dc.subjectStiffness
dc.subjectMathematics
dc.subjectComputer science
dc.subjectMechanics
dc.subjectPhysics
dc.subjectArtificial intelligence
dc.titlePrediction of Marshall test results for polypropylene modified dense bituminous mixtures using neural networks
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5027623678
local.authorid.openalexA5111779431

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