Mark Jaksa
Mark Jaksa
Emeritus Professor of Geotechnical Engineering, University of Adelaide, Australia
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Cited by
Cited by
Artificial neural network applications in geotechnical engineering
MA Shahin, MB Jaksa, HR Maier
Australian geomechanics 36 (1), 49-62, 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
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
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
The influence of spatial variability on the geotechnical design properties of a stiff, overconsolidated clay.
MB Jaksa
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
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, 2009
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
Inaccuracies associated with estimating random measurement errors
MB Jaksa, PI Brooker, WS Kaggwa
Journal of Geotechnical and Geoenvironmental Engineering 123 (5), 393-401, 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
Towards reliable and effective site investigations
MB Jaksa, JS Goldsworthy, GA Fenton, WS Kaggwa, DV Griffiths, YL Kuo, ...
Géotechnique 55 (2), 109-121, 2005
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
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
Neural network prediction of pullout capacity of marquee ground anchors
MA Shahin, MB Jaksa
Computers and Geotechnics 32 (3), 153-163, 2005
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
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
Modelling the effects of vegetation on stability of slopes
Y Chok, G Kaggwa, M Jaksa, D Griffiths
Centre for Continuing Education, Uni Auckland, 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
A transfer coefficient method for rock slope toppling
CH Liu, MB Jaksa, AG Meyers
Canadian Geotechnical Journal 46 (1), 1-9, 2009
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
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