Prediction of Pile Bearing Capacity Using Artificial Neural Networks.(Dept.C)

It is well known that the human brain has advantage of handling disperse and parallel distributed data efficiently. On basis this fact, artificial neural networks theory was developed been applied to various fields science successfully. In study, error back propagation were utilized predict working bearing capacity piles. The performed pile load   tests are used verify applicability presented network procedure. The results showed maximum prediction did not exceed 25%. Thus, use Neural Networks seems be feasible for practical purpose.