It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …

Artificial Neural Networks (ANNs), the most popular and widely used Artificial Intelligence
(AI) technology due to their proven accuracy and efficiency in control, estimation …

Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …

By assist of novel evolutionary science, the classification accuracy of neural computing is
improved in analyzing the bearing capacity of footings over two-layer foundation soils. To …

Estimating the bearing capacity of piles is an essential point when seeking for safe and
economic geotechnical structures. However, the traditional methods employed in this …

For deep foundation load capacity estimation (Q t) in geotechnical engineering, several
empirical and theoretical frameworks have been proposed. In this scenario, simulations are …

The mechanical properties of soil and rock in general have significant non-linearity, this is
due to the very complex composition of soil and rock [1]. Therefore, conventional methods in …

In contemporary mining and geotechnical projects, various approaches are employed to
predict the bearing capacity of piles (Q u). However, accurately modeling pile behavior using …

Abstract This study utilizes Artificial Neural Network (ANN) to predict structural responses of
multi-storey reinforced concrete building based on ground acceleration. The strong ground …

In the paper carried out was modeling of cutting parameters in face milling process of Semi
Solid Metal alloys. As input parameters in the process of modeling were taken: cutting speed …