Brega, JRFSoria, MHAMarar, João Fernando [UNESP]Sementille, Antonio Carlos [UNESP]2014-05-202014-05-201998-01-01Applications and Science of Computational Intelligence. Bellingham: Spie-int Soc Optical Engineering, v. 3390, p. 603-611, 1998.0277-786Xhttp://hdl.handle.net/11449/34687This paper describes a method for the evaluation of pavement condition through artificial neural networks using the MLP backpropagation technique. Two of the most used procedures for detecting the pavement conditions were applied: the overall severity index and the irregularity index. Tests with the model demonstrated that the simulation with the neural network gives better results than the procedures recommended by the highway officials. This network may also be applied for the construction of a graphic computer environment.603-611engintelligent systemartificial neural networkspavement management systemTrabalho apresentado em evento10.1117/12.304849WOS:000073452600062Acesso aberto577770513781001912330494844887611882712230914196