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PreviewIssue DateTitleAuthor(s)
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)
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.)
2005Bayesian training of artificial neural networks used for water resources modelingHumphrey, G.; Lambert, M.; Maier, H.
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)
2003Development of stochastic artificial neural networks for hydrological predictionHumphrey, G.; Lambert, M.; Maier, H.; Post, D.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
2005A Bayesian approach to artificial neural network model selectionHumphrey, G.; Maier, H.; Lambert, M.; Zerger, A.; Argent, R.; International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)
2004A statistical input pruning method for artificial neural networks used in environmental modellingHumphrey, G.; Maier, H.; Lambert, M.; Pahl Wostl, C.; Schmidt, S.; Rizzoli, A.; Jakeman, A.; iEMSs 2004 : Biennial Meeting of the International Environmental Modelling and Software Society (2nd : 2004 : University of Osnabruck, Germany)
2008Bayesian model selection applied to artificial neural networks used for water resources modelingHumphrey, G.; Maier, H.; Lambert, M.
2006A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological predictionHumphrey, G.; Maier, H.; Lambert, M.
2005Calibration and validation of neural networks to ensure physically plausible hydrological modelingHumphrey, G.; Maier, H.; Lambert, M.

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