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Results 11-20 of 219 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2013Selecting among five common modelling approaches for integrated environmental assessment and managementKelly, R.; Jakeman, A.; Barreteau, O.; Borsuk, M.; ElSawah, S.; Hamilton, S.; Henriksen, H.; Kuikka, S.; Maier, H.; Rizzoli, A.; van Delden, H.; Voinov, A.
2013Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply systemPaton, F.; Maier, H.; Dandy, G.
2010The response of freshwater plants to salinity pulsesGoodman, A.; Ganf, G.; Dandy, G.; Maier, H.; Gibbs, M.
2011An integrated dynamic modeling framework for investigating the impact of climate change and variability on irrigated agricultureRowan, T.; Maier, H.; Connor, J.; Dandy, G.
2016A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural networkHumphrey, G.; Gibbs, M.; Dandy, G.; Maier, H.
1996The use of artificial neural networks for the prediction of water quality parametersMaier, H.; Dandy, G.
2012Real-time deployment of artificial neural network forecasting models: Understanding the range of applicabilityBowden, G.; Maier, H.; Dandy, G.
2012Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow modelPartington, D.; Brunner, P.; Simmons, C.; Werner, A.; Therrien, R.; Maier, H.; Dandy, G.
2012A method for comparing data splitting approaches for developing hydrological ANN modelsWu, W.; May, R.; Dandy, G.; Maier, H.; International Congress on Environmental Modelling and Software (6th : 2012 : Leipzig, Germany)
2004General regression neural networks for modeling disinfection residual in water distribution systemsMay, R.; Maier, H.; Dandy, G.; Nixon, J.; World Water and Environmental Resources Congress (2004 : Salt Lake City, Utah)