Theo dơi
Mark Jaksa
Mark Jaksa
Emeritus Professor of Geotechnical Engineering, University of Adelaide, Australia
Email được xác minh tại adelaide.edu.au - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Artificial neural network applications in geotechnical engineering
MA Shahin, MB Jaksa, HR Maier
Australian geomechanics 36 (1), 49-62, 2001
5942001
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
4582002
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
4182004
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
2602008
The influence of spatial variability on the geotechnical design properties of a stiff, overconsolidated clay.
MB Jaksa
2111995
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
1892009
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
1841999
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
1672009
Inaccuracies associated with estimating random measurement errors
MB Jaksa, PI Brooker, WS Kaggwa
Journal of Geotechnical and Geoenvironmental Engineering 123 (5), 393-401, 1997
1611997
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
1532009
Towards reliable and effective site investigations
MB Jaksa, JS Goldsworthy, GA Fenton, WS Kaggwa, DV Griffiths, YL Kuo, ...
Géotechnique 55 (2), 109-121, 2005
1342005
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
1182017
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
1142002
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
1092014
Neural network prediction of pullout capacity of marquee ground anchors
MA Shahin, MB Jaksa
Computers and Geotechnics 32 (3), 153-163, 2005
992005
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
842003
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
792015
Modelling the effects of vegetation on stability of slopes
Y Chok, G Kaggwa, M Jaksa, D Griffiths
Centre for Continuing Education, Uni Auckland, 2004
742004
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
732000
A transfer coefficient method for rock slope toppling
CH Liu, MB Jaksa, AG Meyers
Canadian Geotechnical Journal 46 (1), 1-9, 2009
722009
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