M.Fakhri, E. Shahebrahimi, F. Chavoshian nain,” Study Rutting and Effect of Self-healing on Fatigue Behavior of Modified Asphalt Mixtures,” Journal of Transportation Research
, vol. 1, no. 67
, pp. 143-156(2019) (In Persian)
 A.Tarek, A. Amr, H. Mahgoub, Asphalt crack detection using thermography,: university of central florida, center for advanced transportation systems simulation (CATSS) infra mation, 2005.
 S.M.Mirabdolazimi, Gh. Shafabakhsh, "Rutting depth prediction of hot mix asphalts modified with forta fiber using artificial neural networks and genetic programming technique," Construction and Building Materials, 148, pp. 666-674, 2017.
 M.Fakhri, S.A. Hosseini, "Laboratory evaluation of rutting and moisture damage resistance of glass fiber modified warm mix asphalt incorporating high RAP proportion," Construction and Building Materials, 134, pp. 626-640, 2017.
 A. Choubdar, A. Farajollahi, A. Ameli,” Experimental Evaluation of Rutting Performance of Polymer Modified Binders and Its Relation to Rutting Resistance of Mixture,” Journal of Transportation Research
, vol. 17, no. 64
, pp. 91-102(2020) (In Persian)
 N. Kamboozia, H. Ziari, H. Behbahani, "Artificial neural networks approach to predicting rut depth of asphalt concrete by using of visco-elastic parameters," Construction and Building Materials, 158, pp. 873-882, 2018.
 G.H. Shafabakhsh, O. Jafari Ani, M. Talebsafa, "Artificial neural network modeling (ANN) for predicting rutting performance of nano-modified hot-mix asphalt mixtures containing steel slag aggregates," Construction and Building Materials, 85, pp. 136-143, 2015.
 M. Fakhri, R. Shahni Dezfoulian,” Determination of Effective Structural Number based on IRI and Surface Distress Using Regression and Neural Network Model,” Journal of Transportation Research
, vol. 15, no. 57
, pp. 207-221(2019) (In Persian)
 H. Ziari, A. Amini, A. Goli, & D. Mirzaiyan, "Predicting rutting performance of carbon nano tube (CNT) asphalt binders using regression models and neural networks," Construction and Building Materials, 160, pp.415-426, 2018.
 G. Sollazzo, T.F. Fwa, G. Bosurgi, "An ANN model to correlate roughness and structural performance in asphalt pavements," Construction and Building Materials, 134, pp. 684-693, 2017.
 H. Fizza, A. Yasir, I. Muhammad, A. Murtaza, A. Shafeeq, "A data-driven model for phase angle behaviour of asphalt concrete mixtures based on convolutional neural network," Construction and Building Materials, 269, p.121235, 2020.
 E. Ozgan, "Artificial neural network based modelling of the Marshall Stability of asphalt concrete," Expert Systems with Applications, 38, pp. 6025-6030, 2011.
 R.Hecht-Neilsen, Neurocomputing,: Addison-Wesley, Boston, 1989.
 Gupta, M,. Jin, L,. & Homma, N., Static and Dynamic Neural Network,: Hobokon, New Jersey, 2004.
 M. Saltan, T. Mesut, K. Mustafa, "Artificial neural networks application for flexible pavements thickness modeling," Turkish Journal of Engineering & Environmental Sciences, vol. 26, pp. 243-248. 2002.
 K. Suzuki, Artificial Neural Networks - Methodological Advances and Biomedical Applications,: Apr. 2011,
Send comment about this article