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Results 1-10 of 15 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2003Data transformation for neural network models in water resources applicationsBowden, G.; Dandy, G.; Maier, H.
2005Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a riverBowden, G.; Maier, H.; Dandy, G.
2002Ant colony optimisation of a general regression neural network for forecasting water qualityBowden, G.; Dandy, G.; Maier, H.; International Conference on Hydroinformatics (5th : 2002 : Cardiff, Great Britain)
2003An evaluation of methods for the selection of inputs for an artificial neural network based river modelBowden, G.; Dandy, G.; Maier, H.; Friedrich Recknagel
2003Forecasting chlorine residuals in a water distribution system using an artificial neural networkNixon, J.; Bowden, G.; Dandy, G.; Maier, H.; Holmes, M.; Australian Water Association. South Australian Branch. Regional Conference (2003 : Adelaide, S. Aust.)
2002Optimal division of data for neural network models in water resources applicationsBowden, G.; Maier, H.; Dandy, G.
2012Real-time deployment of artificial neural network forecasting models: Understanding the range of applicabilityBowden, G.; Maier, H.; Dandy, G.
2000Use of evolutionary artificial neural network models to forecast concentrations of cyanobacteria in the River MurrayBowden, G.; Dandy, G.; Maier, H.; Bates, B.; International Hydrology and Water Resources Symposium (3rd : 2000 : Perth, W.A.)
2001Understanding the range of applicability of artificial neural network forecasting modelsBowden, G.; Maier, H.; Dandy, G.; Ghassemi, F.; White, D.; Cuddy, S.; Nakanishi, T.; International Congress on Modelling and Simulation (14th : 2001 : Canberra, A.C.T.)
2005Forecasting cyanobacteria (blue-green algae) using artificial neural networksBowden, G.; Dandy, G.; Maier, H.; Lingireddy, S.; Brion, G.