An artificial neural network based model to predict spatial soil type distribution using piezocone penetration test data (CPTu)

Soil types mapping and the spatial variation of soil classes are essential concerns in both geotechnical and geoenvironmental engineering. Because conventional soil mapping systems are time-consuming and costly, alternative quick and cheap but accurate methods need to be developed. In this paper, a ... View More