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Results 231-240 of 262 (Search time: 0.002 seconds).
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PreviewIssue DateTitleAuthor(s)
2010Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directionsMaier, H.; Jain, A.; Dandy, G.; Sudheer, K.
2009Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approachFernando, T.; Maier, H.; Dandy, G.
2006Application of natural computing (computational intelligence) methods to water resources and environmental modellingMaier, H.
2010Data splitting for artificial neural networks using SOM-based stratified samplingMay, R.; Maier, H.; Dandy, G.
2009Sensitivity analysis for decision-making using the MORE method-A Pareto approachRavalico, J.; Maier, H.; Dandy, G.
2014Selection of smoothing parameter estimators for general regression neural networks - applications to hydrological and water resources modellingLi, X.; Zecchin, A.; Maier, H.
2008Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systemsMay, R.; Dandy, G.; Maier, H.; Nixon, J.
2005Calibration and validation of neural networks to ensure physically plausible hydrological modelingHumphrey, G.; Maier, H.; Lambert, M.
2014Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modellingWu, W.; Dandy, G.; Maier, H.
2012Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow modelPartington, D.; Brunner, P.; Simmons, C.; Werner, A.; Therrien, R.; Maier, H.; Dandy, G.

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