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Results 1-10 of 96 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2000Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applicationsMaier, H.; Dandy, G.
2005Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a riverBowden, G.; Maier, H.; Dandy, G.
2005Input determination for neural network models in water resources applications. Part 1 - background and methodologyBowden, G.; Dandy, G.; Maier, H.
2008Non-linear variable selection for artificial neural networks using partial mutual informationMay, R.; Maier, H.; Dandy, G.; Fernando, T.
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.
2008Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systemsMay, R.; Dandy, G.; Maier, H.; Nixon, J.
2013Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply systemPaton, F.; Maier, H.; Dandy, G.
2011A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water-groundwater flow modelsPartington, D.; Brunner, P.; Simmons, C.; Therrien, R.; Werner, A.; Dandy, G.; Maier, H.
2012A generic framework for regression regionalization in ungauged catchmentsGibbs, M.; Maier, H.; Dandy, G.
2010The response of freshwater plants to salinity pulsesGoodman, A.; Ganf, G.; Dandy, G.; Maier, H.; Gibbs, M.

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