1. Adelaide Research & Scholarship

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Results 31-40 of 70 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2000Application of artificial neural networks to forecasting of surface water quality variables: issues, applications and challengesMaier, H.; Dandy, G.; Govindaraju, R.; Ramachandra Rao, A.
2005Development of an integrated modelling framework for the assessment of river management policiesRowan, T.; Maier, H.; Connor, J.; Dandy, G.; Zerger, A.; Argent, R.; International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)
2003Optimising asset replacement decisions for water distribution systemsDandy, G.; Kolokas, L.; Simpson, A.; Sanders, B.; Ozwater Convention & Exhibition (20th : 2003 : Perth, W.A.)
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.; et al.; Bradley, C.; Hannah, D.; National Hydrology Symposium (8th : 2002 : Birmingham, U.K.)
2005Optimal layout and hydraulic design of branched networks using genetic algorithmsHassanli, A.; Dandy, G.
2006Multi-objective trade-offs between cost and reliability in the replacement of water mainsDandy, G.; Engelhardt, M.
2007Optimising the sustainability of water supply pipeline schemesDandy, G.; Roberts, A.; Hewitson, C.; Chrystie, P.; Ozwater 2007 Convention & Exhibition (2007 : Sydney, Australia)
2004Artificial neural networks: A flexible approach to modellingMaier, H.; Dandy, G.
2006Rank-equivalence method for sensitivity analysis of an integrated model of a river catchmentRavalico, J.; Dandy, G.; Maier, H.; Voinov, A.; Jakeman, A.; Rizzoli, A.; Biennial Meeting of the International Environmental Modelling and Software Society (3rd : 2006 : Vermont, USA)
2003Forecasting chlorine residuals in a water distribution system using a general regression neural networkBowden, G.; Nixon, J.; Dandy, G.; Maier, H.; Holmes, M.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)

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