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Results 1-10 of 15 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2010Bayesian artificial neural networks : with applications water resources engineeringHumphrey, G.; Maier, H.; Lambert, M.
2005A Bayesian method to improve the extrapolation ability of ANNsHumphrey, G.; Maier, H.; Lambert, M.; Hamza, M.; International Conference on Applied Simulation and Modelling (14th : 2005 : Benalmadena, Spain)
2008AI techniques for hydrological Modeling and mangement. II: OptimizationHumphrey, G.; Dandy, G.; Maier, H.; Robinson, L.
2003A comparison of conceptual and empirical modelling methods for simulation of catchment runoffHumphrey, G.; Heneker, T.; Lambert, M.; Maier, H.; Boyd, M.; Ball, J.; Babister, M.; Green, J.; International Hydrology and Water Resources Symposium (28th : 2003 : Wollongong, N.S.W.)
2002Effectiveness of flow management in reducing the risk of cyanobacterial blooms in riversClark, T.; Humphrey, G.; Frazer, A.; Sanderson, A.; Maier, H.; David Sheehan; Hydrology and Water Resources Symposium (27th : 2002 : Melbourne, Vic.)
2005Bayesian training of artificial neural networks used for water resources modelingHumphrey, G.; Lambert, M.; Maier, H.
2004Risk-based approach for assessing the effectiveness of flow management in controlling cyanobacterial blooms in riversMaier, H.; Humphrey, G.; Clark, T.; Frazer, A.; Sanderson, A.
2008Bayesian model selection applied to artificial neural networks used for water resources modelingHumphrey, G.; Maier, H.; Lambert, M.
2008AI Techniques for hydrological Modelling and Management. I: SimulationHumphrey, G.; Maier, H.; Dandy, G.; Robinson, L.
2003Understanding the mechanisms modelled by artificial neural networks for hydrological predictionHumphrey, G.; Maier, H.; Lambert, M.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)

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