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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
29202000
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
9762010
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
8032013
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
7931996
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
6792005
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
6742003
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
6352014
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
6152008
Artificial neural network applications in geotechnical engineering
MA Shahin, MB Jaksa, HR Maier
Australian geomechanics 36 (1), 49-62, 2001
5722001
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
5192016
Review of input variable selection methods for artificial neural networks
R May, G Dandy, H Maier
Artificial neural networks-methodological advances and biomedical …, 2011
4732011
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
4452002
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
4092004
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
3982002
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
3582008
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
3082014
The future of sensitivity analysis: an essential discipline for systems modeling and policy support
S Razavi, A Jakeman, A Saltelli, C Prieur, B Iooss, E Borgonovo, ...
Environmental Modelling & Software 137, 104954, 2021
2962021
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
2912004
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
2861998
Data splitting for artificial neural networks using SOM-based stratified sampling
RJ May, HR Maier, GC Dandy
Neural Networks 23 (2), 283-294, 2010
2822010
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