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Results 11-20 of 69 (Search time: 0.002 seconds).
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Issue Date
Title
Author(s)
2018
On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven models
Zheng, F.
;
Maier, H.
;
Wu, W.
;
Dandy, G.
;
Gupta, H.
;
Zhang, T.
2012
Model comparisons for tracer experiments at a clear water storage tank
Crowther, J.
;
Dandy, G.
2012
Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow model
Partington, D.
;
Brunner, P.
;
Simmons, C.
;
Werner, A.
;
Therrien, R.
;
Maier, H.
;
Dandy, G.
2014
Optimization of water distribution systems using online retrained metamodels
Bi, W.
;
Dandy, G.
2010
Evaluation of parameter setting for two GIS based unit hydrograph models
Gibbs, M.
;
Dandy, G.
;
Maier, H.
2011
Application of artificial neural networks to forecasting water quality in a chloraminated water distribution system
Wu, W.
;
Dandy, G.
;
Maier, H.
;
Chan, F.
;
Marinova, D.
;
Anderssen, R.S.
;
International Congress on Modelling and Simulation (19th : 2011 : Perth, Australia)
2013
Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply system
Paton, F.
;
Maier, H.
;
Dandy, G.
2010
Data splitting for artificial neural networks using SOM-based stratified sampling
May, R.
;
Maier, H.
;
Dandy, G.
2014
Multiobjective optimization of cluster-scale urban water systems investigating alternative water sources and level of decentralization
Newman, J.
;
Dandy, G.
;
Maier, H.
2014
Optimal sequencing of water supply options at the regional scale incorporating alternative water supply sources and multiple objectives
Beh, E.
;
Dandy, G.
;
Maier, H.
;
Paton, F.
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Author
60
Maier, H.
14
Gibbs, M.
11
Wu, W.
8
Marchi, A.
7
Paton, F.
6
Beh, E.
4
Anderssen, R.S.
4
Chan, F.
4
International Congress on Modelli...
4
Marinova, D.
.
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Subject
3
Sequencing
3
uncertainty
3
water quality
2
Artificial neural networks
2
artificial neural networks
2
Australia
2
environmental flow
2
evolutionary computation
2
genetic algorithms
2
HydroGeoSphere
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2019
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