1. Abu Kiefa MA (1998) General regression neural networks for driven piles in cohesionless soils. J Geotech Geoenviron Eng ASCE 124(12):1177–1185
2. Alzo’ubi AK, Ati M, Ibrahim F (2015) Smart framework for predicting drilled shaft capacity based on data mining techniques and GIS data. In: Manzanal D, Sfriso AO (eds) From fundamentals to applications in geotechnics, The Pan American conference on soil mechanics and geotechnical engineering, 15th PCSMGE/8th SCRM/6th IS-BA 2015, 15–18 November, 1909–1915
3. ASTM D1586-11 (2011) Standard test method for standard penetration test (SPT) and split-barrel sampling of soils. ASTM International, West Conshohocken.
https://doi.org/10.1520/d1586-11
,
www.astm.org
4. Benali A, Ammar N (2011) Prediction of the pile capacity in purely coherent soils using the approach of the artificial neural networks. In: International seminar, innovation and valorization in civil engineering and construction materials, No.: 5O-239, University of sciences and technology, Algiers, Algeria
5. BS 8004:2015. BSI Standards Publication Code of practice for foundations BS 8004:2015 BRITISH STANDARD