Neural network based classification of road pavement structures

摘要: Roads have formed the basic infrastructure of commerce since flints and other tools artifacts were first exchanged along trade routes prehistory. Roadways are very large, in volume, extent, value. They also wear out, their useful life is directly proportional to initial strength inversely number heavy goods vehicles using them. Therefore, increasing complexity road transportation needs advanced techniques for effective design pavements. This paper proposes an intelligent technique neural networks classify different types pavement structures, which essential estimating bearing capacities load equivalency factors pavements under loadings.