Predicting axial capacity of driven piles in cohesive soils using intelligent computing

Author:

Alkroosh Iyad,Nikraz Hamid

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference30 articles.

1. General regression neural networks for driven piles in cohesionless soils;Abu-Kiefa;J. Geotech. Geoenviron. Eng.,1998

2. Alsamman, O., 1995. The Use of the CPT for Calculating Axial Capacity of Drilled Shafts. Ph.D. Thesis. University of Illinois, Urbana.

3. Piles shaft capacity from CPT and CPTu data by polynomial neural networks and genetic algorithms;Ardalan;Comput. Geotech.,2009

4. Empirical modelling of shear strength of RC deep beams by genetic programming;Ashour;Comput. Struct.,2003

5. Prediction of compressive and tensile strength of limestone via genetic programming;Bayksoglu;Expert Syst. Appl.,2008

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