<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "The Use of Machine Learning Approach to Predict Pile Capacity in Non-Cohesive Soils"^^ . "Existing theoretical and empirical pile design methods cannot accurately model the complex interaction between piles and soil. Consequently, there is a growing trend towards utilizing machine learning techniques to better capture the nonlinear soil-pile interaction. This paper aims to predict the capacity of bored piles in cohesionless soils using a machine learning approach. The machine learning algorithm was trained using a database of 18 bored pile cases in non-cohesive soils and validated with a separate dataset of 8 bored piles in cohesionless soil. Moreover, the performance of the machine learning method was compared with that of a traditional pile design method (i.e., SA-SPT method) in Southern Africa. The evaluation was based on the ratio of measured capacity to predicted capacity (Qm/Qp) statistics and the coefficient of determination (R2). The results showed an R2 of 0.89 for the machine learning method compared to 0.85 for the SA-SPT method, indicating the superior accuracy of the machine learning approach in predicting pile capacity."^^ . "2024-09-15" . . . "14" . "3s" . . "Scienceline Publication, Ltd"^^ . . . "Journal of Civil Engineering and Urbanism"^^ . . . "22520430" . . . . . . . . . . "Lesego"^^ . "Palalane"^^ . "Lesego Palalane"^^ . . "Mahongo"^^ . "Dithinde"^^ . "Mahongo Dithinde"^^ . . . . . . "The Use of Machine Learning Approach to Predict Pile Capacity in Non-Cohesive Soils (Text)"^^ . . . . . "JCEU14(3s)311-317,2024.pdf"^^ . . . "The Use of Machine Learning Approach to Predict Pile Capacity in Non-Cohesive Soils (Other)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #1334 \n\n\n \n The Use of Machine Learning Approach to Predict Pile Capacity in Non-Cohesive Soils\n \n\n" . "text/html" . . . "TA Engineering (General). Civil engineering (General)"@en . .