Morova, NihatKarahançer, Şebnem SargınTerzi, SerdalSaltan, MehmetSerin, Sercan2020-04-302020-04-3020129781467314466https://dx.doi.org/10.1109/INISTA.2012.6246946https://hdl.handle.net/20.500.12684/442International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831In this study, an Artificial Neural Network (ANN) model has been developed to estimate Marshall Stability (MS) of lightweight asphalt concrete containing expanded clay. In the model, amount of bitumen (%), transition speed of ultrasound (?s), unit weight (gr/cm 3) were used as inputs and Marshall Stability (kg) was used as output. Developed ANN model results and the experimental results were compared and good relationship was found. © 2012 IEEE.en10.1109/INISTA.2012.6246946info:eu-repo/semantics/closedAccessArtificial Neural networks; expanded clay; Lightweight asphalt concrete; Marshall Stability; PredictionConference Object