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 | 2619 | 2000 |
Genetic algorithms compared to other techniques for pipe optimization AR Simpson, GC Dandy, LJ Murphy Journal of water resources planning and management 120 (4), 423-443, 1994 | 939 | 1994 |
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 | 797 | 2010 |
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 | 720 | 1996 |
An improved genetic algorithm for pipe network optimization GC Dandy, AR Simpson, LJ Murphy Water resources research 32 (2), 449-458, 1996 | 705 | 1996 |
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 | 602 | 2005 |
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 | 529 | 2014 |
Review of input variable selection methods for artificial neural networks R May, G Dandy, H Maier Artificial neural networks-methodological advances and biomedical …, 2011 | 382 | 2011 |
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 | 346 | 2002 |
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 | 322 | 2008 |
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 | 271 | 1998 |
Neural network based modelling of environmental variables: a systematic approach HR Maier, GC Dandy Mathematical and Computer Modelling 33 (6-7), 669-682, 2001 | 250 | 2001 |
Estimating residential water demand in the presence of free allowances G Dandy, T Nguyen, C Davies Land Economics, 125-139, 1997 | 241 | 1997 |
Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river GJ Bowden, HR Maier, GC Dandy Journal of Hydrology 301 (1-4), 93-107, 2005 | 229 | 2005 |
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 | 219 | 2014 |
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 | 215 | 1998 |
Data splitting for artificial neural networks using SOM-based stratified sampling RJ May, HR Maier, GC Dandy Neural Networks 23 (2), 283-294, 2010 | 206 | 2010 |
Optimal scheduling of water pipe replacement using genetic algorithms GC Dandy, M Engelhardt Journal of water resources planning and management 127 (4), 214-223, 2001 | 203 | 2001 |
Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems RJ May, GC Dandy, HR Maier, JB Nixon Environmental Modelling & Software 23 (10-11), 1289-1299, 2008 | 196 | 2008 |
Water distribution system optimization using metamodels DR Broad, GC Dandy, HR Maier Journal of Water Resources Planning and Management 131 (3), 172-180, 2005 | 192 | 2005 |