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Results 11-19 of 19 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2003Neurofuzzy networks applied to settlement of shallow foundations on granular soilsShahin, M.; Jaksa, M.; Maier, H.; Kiureghian, A.; Madanat, S.; Pestana, J.; Applications of Statistics and Probability in Civil Engineering (2003 : San Francisco, California)
2005Investigation into the robustness of artificial neural networks for a case study in civil engineeringShahin, M.; Maier, H.; Jaksa, M.; Zerger, A.; Argent, R.; International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)
2003Neural and neurofuzzy techniques applied to modelling settlement of shallow foundations on granular soilsShahin, M.; Maier, H.; Jaksa, M.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
2003Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy modelsShahin, M.; Maier, H.; Jaksa, M.
2002Predicting settlement of shallow foundations using neural networksShahin, M.; Maier, H.; Jaksa, M.
2004Data division for developing neural networks applied to geotechnical engineeringShahin, M.; Maier, H.; Jaksa, M.
2005Neural network prediction of pullout capacity of marquee ground anchorsShahin, M.; Jaksa, M.
2009Recent advances and future challenges for artificial neural systems in geotechnical engineering applicationsShahin, M.; Jaksa, M.; Maier, H.
2009Intelligent computing for predicting axial capacity of drilled shaftsShahin, M.; Jaksa, M.; International Foundation Congress and Equipment Expo (2009 : Orlando, Florida)