Prediction of axial load bearing capacity of PHC nodular pile using Bayesian regularization artificial neural network
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering
Reference74 articles.
1. Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models;Aladag;Neural Comput. Appl.,2012
2. Correlation of Pile Axial Capacity and CPT Data Using Gene Expression Programming;Alkroosh;Geotech. Geol. Eng.,2011
3. Predicting axial capacity of driven piles in cohesive soils using intelligent computing;Alkroosh;Eng. Appl. Artif. Intell.,2012
4. Predicting pile dynamic capacity via application of an evolutionary algorithm;Alkroosh;Soils Found.,2014
5. Standard test method for piles under static axial compressive load;American Society of Testing and Material (ASTM);In ASTM,1994
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