Determining amount of bituminous effects on asphalt concrete strength with artificial intelligence and statistical analysis methods

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dc.contributor.authorSerin, Sercan
dc.contributor.authorMorova, Nihat
dc.contributor.authorTerzi, Serdal
dc.contributor.authorSargın, Şebnem
dc.date.accessioned2020-04-30T13:32:18Z
dc.date.available2020-04-30T13:32:18Z
dc.date.issued2011
dc.departmentDÜ, Teknik Eğitim Fakültesien_US
dc.descriptionTUBITAK; IEEEen_US
dc.description2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011 -- 15 June 2011 through 18 June 2011 -- Istanbul-Kadikoy -- 85879en_US
dc.description.abstractIn this study, an experimental study has been conducted to determine compressive strength of asphalt concrete. The scope of study by preparing 45 Marshall samples Marshall stability experiment was conducted and compressive strength of asphalt concrete was determined. Compressive strength of asphalt concrete as depending on bituminous amount prediction models were developed by using obtained experiment results. Compressive strength of asphalt concrete values as depending on bituminous amount have been estimated on prediction models developed with regression analyses and Artificial Neural Network (ANN) Methods. Results obtained from models were compared with experiment results. Prediction performances of developed models were evaluated as compared. As a result it was determined that possible to estimate the compressive strength of asphalt concrete as depending on bituminous amount with developed ANN model and that ANN model was more successful than regression model for estimating the compressive strength of asphalt concrete. © 2011 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2011.5946139en_US
dc.identifier.endpage334en_US
dc.identifier.isbn9781612849195
dc.identifier.startpage329en_US
dc.identifier.urihttps://dx.doi.org/10.1109/INISTA.2011.5946139
dc.identifier.urihttps://hdl.handle.net/20.500.12684/223
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofINISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial intelligence; artificial neural networks; asphalt concrete; flexible pavements; regression analysesen_US
dc.titleDetermining amount of bituminous effects on asphalt concrete strength with artificial intelligence and statistical analysis methodsen_US
dc.typeConference Objecten_US

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