Mark Jaksa
Mark Jaksa
Professor of Geotechnical Engineering, University of Adelaide
Verified email at - Homepage
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 the Application of Statistics and Probability 1, 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
Inaccuracies associated with estimating random measurement errors
MB Jaksa, PI Brooker, WS Kaggwa
Journal of Geotechnical and Geoenvironmental Engineering 123 (5), 393-401, 1997
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
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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