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Preview	Issue Date	Title	Author(s)
	1998	Use of Artificial Neural Networks for Modelling Cyanobacteria Anabaena spp. in the River Murray, South Australia	Maier, H.; Dandy, G.; Burch, M.
	2008	Bayesian model selection applied to artificial neural networks used for water resources modeling	Humphrey, G.; Maier, H.; Lambert, M.
	2006	Investigation into the relationship between chlorine decay and water distribution parameters using data driven methods	Gibbs, M.; Morgan, N.; Maier, H.; Dandy, G.; Nixon, J.; Holmes, M.
	2006	Forecasting chlorine residuals in a water distribution system using a general regression neural network	Bowden, G.; Nixon, J.; Dandy, G.; Maier, H.; Holmes, M.
	2006	A probabilistic method for assisting knowledge extraction from artificial neural networks used for hydrological prediction	Humphrey, G.; Maier, H.; Lambert, M.
	2005	Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river	Bowden, G.; Maier, H.; Dandy, G.
	2001	Neural network based modelling of environmental variables: A systematic approach	Maier, H.; Dandy, G.
	2001	Forecasting cyanobacterium Anabaena spp. in the River Murray, South Australia, using B-spline neurofuzzy models	Maier, H.; Sayed, T.; Lence, B.
	2012	Incorporation of variable-speed pumping in multiobjective genetic algorithm optimization of the design of water transmission systems	Wu, W.; Simpson, A.; Maier, H.; Marchi, A.
	2010	Single-objective versus multiobjective optimization of water distribution systems accounting for greenhouse gas emissions by carbon pricing	Wu, W.; Maier, H.; Simpson, A.