Ali Mahbod - Department of Civil Engineering, Shahid Bahonar University, Kerman, Iran ) Corresponding Author
Abdolghafar Ghorbani pour - Department of Civil Engineering, Arak Branch ,Islamic Azad University , Arak ,Iran
Abdollah Tabaroei - Department of Civil, Science and Research Branch, Islamic Azad University, Tehran, Iran
Sina Mokhtar - Department of Civil Engineering, Arak Branch ,Islamic Azad University , Arak ,Iran

The purpose of this study to estimate the parameters of the soil and anchor by means of artificial neural network to determine its success in moving the walls of the guard. For this purpose, the artificial neural network application software Matlab was used. Six parameters have been chosen to anchor the soil and then examined the function of neural network for movement of the guard wall. Our finding suggest that With increasing soil mechanical parameters such as modulus of elasticity of soil and soil internal friction angle of the wall decreases the maximum amount of transformation and With increasing amounts of inhibitory Non tangly and transformation up to the wall decreases. using the artificial neural network in this article is cited can be made saving time and cust.

Artificial Neural Network, Excavation, PLAXIS 2D, Horizontal Displacement