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Results 1-10 of 111 (Search time: 0.014 seconds).
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PreviewIssue DateTitleAuthor(s)
2000Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applicationsMaier, H.; Dandy, G.
2008Non-linear variable selection for artificial neural networks using partial mutual informationMay, R.; Maier, H.; Dandy, G.; Fernando, T.
2010Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directionsMaier, H.; Jain, A.; Dandy, G.; Sudheer, K.
2006Multi-objective trade-offs between cost and reliability in the replacement of water mainsDandy, G.; Engelhardt, M.
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.
2011An integrated dynamic modeling framework for investigating the impact of climate change and variability on irrigated agricultureRowan, T.; Maier, H.; Connor, J.; Dandy, G.
1996The use of artificial neural networks for the prediction of water quality parametersMaier, 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)