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Results 1-10 of 14 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2013Framework for assessing and improving the performance of recursive digital filters for baseflow estimation with application to the Lyne and Hollick filterLi, L.; Maier, H.; Lambert, M.; Simmons, C.; Partington, D.
2005Bayesian training of artificial neural networks used for water resources modelingHumphrey, G.; Lambert, M.; Maier, H.
2008Bayesian model selection applied to artificial neural networks used for water resources modelingHumphrey, G.; Maier, H.; Lambert, M.
2011Sensitivity of optimal baseflow filter parameter to catchment soil characteristicsLi, L.; Maier, H.; Lambert, M.; Simmons, C.; Partington, D.; IAHR World Congress (34th : 2011 : Brisbane, Australia)
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.
2010Bayesian artificial neural networks : with applications water resources engineeringHumphrey, G.; Maier, H.; Lambert, M.
2005A Bayesian approach to artificial neural network model selectionHumphrey, G.; Maier, H.; Lambert, M.; International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)
2003Understanding the mechanisms modelled by artificial neural networks for hydrological predictionHumphrey, G.; Maier, H.; Lambert, M.; International Congress on Modelling and Simulation (15th : 2003 : Townsville, Queensland)
2005A Bayesian method to improve the extrapolation ability of ANNsHumphrey, G.; Maier, H.; Lambert, M.; International Conference on Applied Simulation and Modelling (14th : 2005 : Benalmadena, Spain)