Serin, SercanKarahançer, ŞebnemErişkin, EkinhanMorova, NihatSaltan, MehmetTerzi, Serdal2020-04-302020-04-3020172303-4521https://dx.doi.org/10.21533/pen.v5i2.106https://hdl.handle.net/20.500.12684/291Specific Gravity of the bitumen changes according to the ambient temperature. Different specific gravity values can be calculated at different temperature. Estimating models like Artificial Neural Network - ANN could be very useful to obtain the specific gravity value uniform. Specific gravity values obtained from Long-Term Pavement Performance - LTPP were estimated with artificial neural networks. Penetration and Penetration Index of binder were used for estimating the specific gravity of the bitumen. As a result, ANN get 84% of R2 between obtained and estimated values.en10.21533/pen.v5i2.106info:eu-repo/semantics/openAccessArtifical neural network; Penetration; Penetration index; Specific gravityEstimation of specific gravity with penetration and penetration index parameters by artificial neural networkArticle52161164Q2