1. Adelaide Research & Scholarship

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Results 1-10 of 11 (Search time: 0.006 seconds).
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PreviewIssue DateTitleAuthor(s)
2011Application of artificial neural networks to forecasting water quality in a chloraminated water distribution systemWu, W.; Dandy, G.; Maier, H.; Chan, F.; Marinova, D.; Anderssen, R.S.; International Congress on Modelling and Simulation (19th : 2011 : Perth, Australia)
2012A method for comparing data splitting approaches for developing hydrological ANN modelsWu, W.; May, R.; Dandy, G.; Maier, H.; International Congress on Environmental Modelling and Software (6th : 2012 : Leipzig, Germany)
2012Exploring the impact of data splitting methods on artificial neural network modelsWu, W.; Maier, H.; Dandy, G.; May, R.; International Conference on Hydroinformatics (10th : 2012 : Hamburg, Germany)
2012ANN forecasting of water quality in the chloraminated goldfield and agricultural pipeline system: constructive input selectionWu, W.; Maier, H.; Dandy, G.; 14th Water Distribution Systems Analysis Conference (24 Sep 2012 - 27 Sep 2012 : Adelaide, S.A.)
2013A benchmarking approach for comparing data splitting methods for modeling water resources parameters using artificial neural networksWu, W.; May, R.; Maier, H.; Dandy, G.
2015Optimal control of total chlorine and free ammonia levels in a water transmission pipeline using artificial neural networks and genetic algorithmsWu, W.; Dandy, G.; Maier, H.
2014The Battle of the Water Networks II (BWN-II)Marchi, A.; Salomons, E.; Ostfeld, A.; Kapelan, Z.; Simpson, A.; Zecchin, A.; Maier, H.; Wu, Z.; Elsayed, S.M.; Song, Y.; Walski, T.; Stokes, C.; Wu, W.; Dandy, G.; Alvisi, S.; Creaco, E.; Franchini, M.; Saldarriaga, J.; Páez, D.; Hernández, D.; et al.
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.
2018On lack of robustness in hydrological model development due to absence of guidelines for selecting calibration and evaluation data: demonstration for data-driven modelsZheng, F.; Maier, H.; Wu, W.; Dandy, G.; Gupta, H.; Zhang, T.
2017Identification of optimal water supply portfolios for a major cityWu, W.; Dandy, G.; Maier, H.; Maheepala, S.; Marchi, A.; Mirza, F.

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