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Results 31-40 of 154 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2005DrCT®: Developing tools for improved disinfection control within water distribution systemsHolmes, M.; Chow, C.; May, R.; Badalyan, A.; Fitzgerald, F.; Nixon, J.; Dandy, G.; Maier, H.; Disinfection 2005 Conference (2005 : Mesa, Arizona)
2010Management Option Rank Equivalence (MORE) - A new method of sensitivity analysis for decision-makingRavalico, J.; Dandy, G.; Maier, H.
2008AI techniques for hydrological Modeling and mangement. II: OptimizationHumphrey, G.; Dandy, G.; Maier, H.
2010Parameterization of a gridded rainfall-runoff model for Southern AustraliaGibbs, M.; Maier, H.; Dandy, G.; International Conference on Hydro-science and Engineering (9th : 2010 : Tamil Nadu, India)
2010Sensitivity of urban water security based on various global circulation models and emission scenariosPaton, F.; Dandy, G.; Maier, H.; Practical Responses to Climate Change National Conference (1st : 2010 : Melbourne, Australia)
2010Comparison of genetic algorithm parameter setting methods for chlorine injection optimizationGibbs, M.; Maier, H.; Dandy, G.
2000Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applicationsMaier, H.; Dandy, G.
2002An international comparative study of artificial neural network techniques for river stage forecastingAbrahart, R.; Anctil, F.; Bowden, G.; Dandy, G.; Maier, H.; Campolo, M.; Soldati, A.; Cannas, B.; Fanni, A.; Dawson, C.; Dulal, K.; Elshorbagy, A.; Hall, M.; Varoonchotikul, P.; Imrie, C.; Jain, S.; Jayawardena, A.; Fernando, T.; Liong, S.; Doan, C.; Panu, U.; Shamseldin, A.; Solomatine, D.; Sudheer, K.; Wilby, R.; National Hydrology Symposium (8th : 2002 : Birmingham, U.K.)
2001Understanding the range of applicability of artificial neural network forecasting modelsBowden, G.; Maier, H.; Dandy, G.; International Congress on Modelling and Simulation (14th : 2001 : Canberra, A.C.T.)
2003Forecasting chlorine residuals in a water distribution system using a general regression neural networkBowden, G.; Nixon, J.; Dandy, G.; Maier, H.; Holmes, M.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)