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Holger R Maier
Holger R Maier
Professor, School of Civil, Environmental and Mining Engineering, The University of Adelaide
Verified email at adelaide.edu.au - Homepage
Title
Cited by
Cited by
Year
Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
HR Maier, GC Dandy
Environmental modelling & software 15 (1), 101-124, 2000
27172000
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
HR Maier, A Jain, GC Dandy, KP Sudheer
Environmental modelling & software 25 (8), 891-909, 2010
8532010
The use of artificial neural networks for the prediction of water quality parameters
HR Maier, GC Dandy
Water resources research 32 (4), 1013-1022, 1996
7431996
Selecting among five common modelling approaches for integrated environmental assessment and management
RA Kelly, AJ Jakeman, O Barreteau, ME Borsuk, S ElSawah, SH Hamilton, ...
Environmental modelling & software 47, 159-181, 2013
6702013
Ant colony optimization for design of water distribution systems
HR Maier, AR Simpson, AC Zecchin, WK Foong, KY Phang, HY Seah, ...
Journal of water resources planning and management 129 (3), 200-209, 2003
6492003
Input determination for neural network models in water resources applications. Part 1—background and methodology
GJ Bowden, GC Dandy, HR Maier
Journal of Hydrology 301 (1-4), 75-92, 2005
6242005
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
HR Maier, Z Kapelan, J Kasprzyk, J Kollat, LS Matott, MC Cunha, ...
Environmental Modelling & Software 62, 271-299, 2014
5562014
Future research challenges for incorporation of uncertainty in environmental and ecological decision-making
JC Ascough Ii, HR Maier, JK Ravalico, MW Strudley
Ecological modelling 219 (3-4), 383-399, 2008
5492008
Artificial neural network applications in geotechnical engineering
MA Shahin, MB Jaksa, HR Maier
Australian geomechanics 36 (1), 49-62, 2001
4812001
Review of input variable selection methods for artificial neural networks
R May, G Dandy, H Maier
Artificial neural networks-methodological advances and biomedical …, 2011
4082011
An uncertain future, deep uncertainty, scenarios, robustness and adaptation: How do they fit together?
HR Maier, JHA Guillaume, H van Delden, GA Riddell, M Haasnoot, ...
Environmental modelling & software 81, 154-164, 2016
4052016
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
3752002
Optimal division of data for neural network models in water resources applications
GJ Bowden, HR Maier, GC Dandy
Water resources research 38 (2), 2-1-2-11, 2002
3592002
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
3412004
Non-linear variable selection for artificial neural networks using partial mutual information
RJ May, HR Maier, GC Dandy, TMKG Fernando
Environmental Modelling & Software 23 (10-11), 1312-1326, 2008
3362008
Genetic algorithms for reliability-based optimization of water distribution systems
BA Tolson, HR Maier, AR Simpson, BJ Lence
Journal of water resources planning and management 130 (1), 63-72, 2004
2792004
The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study
HR Maier, GC Dandy
Environmental Modelling & Software 13 (2), 193-209, 1998
2761998
Neural network based modelling of environmental variables: a systematic approach
HR Maier, GC Dandy
Mathematical and Computer Modelling 33 (6-7), 669-682, 2001
2612001
Use of artificial neural networks for predicting optimal alum doses and treated water quality parameters
HR Maier, N Morgan, CWK Chow
Environmental Modelling & Software 19 (5), 485-494, 2004
2502004
Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling
W Wu, GC Dandy, HR Maier
Environmental Modelling & Software 54, 108-127, 2014
2402014
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