Artificial neural network applications in geotechnical engineering MA Shahin, MB Jaksa, HR Maier Australian geomechanics 36 (1), 49-62, 2001 | 603 | 2001 |
Predicting settlement of shallow foundations using neural networks MA Shahin, HR Maier, MB Jaksa Journal of geotechnical and geoenvironmental engineering 128 (9), 785-793, 2002 | 460 | 2002 |
Data division for developing neural networks applied to geotechnical engineering MA Shahin, HR Maier, MB Jaksa journal of Computing in Civil Engineering 18 (2), 105-114, 2004 | 427 | 2004 |
State of the art of artificial neural networks in geotechnical engineering MA Shahin, MB Jaksa, HR Maier Electronic Journal of Geotechnical Engineering 8 (1), 1-26, 2008 | 264 | 2008 |
The influence of spatial variability on the geotechnical design properties of a stiff, overconsolidated clay. MB Jaksa | 215 | 1995 |
Recent advances and future challenges for artificial neural systems in geotechnical engineering applications MA Shahin, MB Jaksa, HR Maier Advances in Artificial Neural Systems 2009 (1), 308239, 2009 | 197 | 2009 |
Experimental evaluation of the scale of fluctuation of a stiff clay MB Jaksa, WS Kaggwa, PI Brooker Proc., 8th Int. Conf. on Application of Statistics and Probability, 415-422, 1999 | 187 | 1999 |
ANN-based model for predicting the bearing capacity of strip footing on multi-layered cohesive soil YL Kuo, MB Jaksa, AV Lyamin, WS Kaggwa Computers and Geotechnics 36 (3), 503-516, 2009 | 168 | 2009 |
Inaccuracies associated with estimating random measurement errors MB Jaksa, PI Brooker, WS Kaggwa Journal of Geotechnical and Geoenvironmental Engineering 123 (5), 393-401, 1997 | 165 | 1997 |
Prediction of pile settlement using artificial neural networks based on standard penetration test data FP Nejad, MB Jaksa, M Kakhi, BA McCabe Computers and geotechnics 36 (7), 1125-1133, 2009 | 156 | 2009 |
Towards reliable and effective site investigations MB Jaksa, JS Goldsworthy, GA Fenton, WS Kaggwa, DV Griffiths, YL Kuo, ... Géotechnique 55 (2), 109-121, 2005 | 135 | 2005 |
Load-settlement behavior modeling of single piles using artificial neural networks and CPT data FP Nejad, MB Jaksa Computers and Geotechnics 89, 9-21, 2017 | 119 | 2017 |
Artificial neural network based settlement prediction formula for shallow foundations on granular soils MA Shahin, MB Jaksa, HR Maier Australian Geomechanics: Journal and News of the Australian Geomechanics …, 2002 | 119 | 2002 |
Prediction of ultimate axial load-carrying capacity of piles using a support vector machine based on CPT data A Kordjazi, FP Nejad, MB Jaksa Computers and Geotechnics 55, 91-102, 2014 | 112 | 2014 |
Neural network prediction of pullout capacity of marquee ground anchors MA Shahin, MB Jaksa Computers and Geotechnics 32 (3), 153-163, 2005 | 100 | 2005 |
Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models MA Shahin, HR Maier, MB Jaksa Computers and Geotechnics 30 (8), 637-647, 2003 | 84 | 2003 |
Assessing the influence of root reinforcement on slope stability by finite elements YH Chok, MB Jaksa, WS Kaggwa, DV Griffiths International Journal of Geo-Engineering 6, 1-13, 2015 | 81 | 2015 |
Modelling the effects of vegetation on stability of slopes Y Chok, G Kaggwa, M Jaksa, D Griffiths Centre for Continuing Education, Uni Auckland, 2004 | 76 | 2004 |
Predicting the settlement of shallow foundations on cohesionless soils using back-propagation neural networks MA Shahin, MB Jaksa, HR Maier Department of Civil and Environmental Engineering, University of Adelaide, 2000 | 74 | 2000 |
Application of artificial neural networks for predicting the impact of rolling dynamic compaction using dynamic cone penetrometer test results R Ranasinghe, MB Jaksa, YL Kuo, FP Nejad Journal of Rock Mechanics and Geotechnical Engineering 9 (2), 340-349, 2017 | 72 | 2017 |