Khosrow shafiemotlagh - lecture, Islamic Azad university branch of Dehdasht
Nematallah ferdous - MSC candidate in geotechnical engineering, Islamic Azad university branch of yasouj,
Zoleykha Kazemi - MSC in tectonic, Islamic Azad university branch of shiraz
Seyed sajad mousavi amjad - MSC in structural engineering, university of sistan and balouchestan,

In this paper the natural geotechnical profile are predicted. To achieve this target Artificial Neural Networks (ANNs) program is used. This program has capabilities to study and process the problems that have complex variable, such as Dehdasht topographical profile. Five main ANN models were constructed based on the soil data of 550 boreholes from 45 sites. These models use the three dimensional coordinates as input data to predict soil profile and soil parameters at different locations. Artificial Neural Networks is found to have the acceptable ability to predict the soil classification and soil parameters in Dehdasht. The lack in accuracy in some predicted data when compared with the soil profile obtained from actual boreholes is due to inconsistency of coordinates and depth.

Artificial Neural Networks, Dehdasht, Prediction