Holger R Maier
Holger R Maier
Professor, School of Civil, Environmental and Mining Engineering, The University of Adelaide
Email verificata su adelaide.edu.au - Home page
Titolo
Citata da
Citata da
Anno
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
22212000
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
6081996
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
5812010
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
5362003
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
5032005
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
4382013
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
4282008
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
3742014
Artificial neural network applications in geotechnical engineering
MA Shahin, MB Jaksa, HR Maier
Australian geomechanics 36 (1), 49-62, 2001
3582001
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
2852002
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
2802002
Review of input variable selection methods for artificial neural networks
R May, G Dandy, H Maier
Artificial neural networks-methodological advances and biomedical …, 2011
2562011
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
2511998
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
2502008
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
2372004
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
2322004
Neural network based modelling of environmental variables: a systematic approach
HR Maier, GC Dandy
Mathematical and Computer Modelling 33 (6-7), 669-682, 2001
2032001
Parametric study for an ant algorithm applied to water distribution system optimization
AC Zecchin, AR Simpson, HR Maier, JB Nixon
IEEE transactions on evolutionary computation 9 (2), 175-191, 2005
2012005
Use of artificial neural networks for modelling cyanobacteria Anabaena spp. in the River Murray, South Australia
HR Maier, GC Dandy, MD Burch
Ecological Modelling 105 (2-3), 257-272, 1998
1961998
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
1952004
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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