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Preview	Issue Date	Title	Author(s)
	2001	Predicting eutrophication effects in the Burrinjuck Reservoir (Australia) by means of the deterministic model SALMO and the recurrent neural network model ANNA	Walter, M.; Recknagel, F.; Carpenter, C.; Bormans, M.
	2001	Prediction and elucidation of phytoplankton dynamics in the Nakdong River (Korea) by means of a recurrent artificial neural network	Jeong, K.; Joo, G.; Kim, H.; Ha, K.; Recknagel, F.
	2001	Applications of machine learning to ecological modelling	Recknagel, F.
	2001	Inducing explanatory rules for the prediction of algal blooms by genetic algorithms	Bobbin, J.; Recknagel, F.
	2001	Towards a generic artificial neural network model for dynamic predictions of algal abundance in freshwater lakes	Wilson, H.; Recknagel, F.
	2008	Forecasting and explanation of algal dynamics in two shallow lakes by recurrent artificial neural network and hybrid evolutionary algorithm	Talib, A.; Recknagel, F.; Cao, H.; van der Molen, D.
	2008	Cellular automata based simulation of random versus selective harvesting strategies in predator–prey systems	Qu, S.; Chen, Q.; Recknagel, F.
	2006	Automated modelling of a food web in lake Bled using measured data and a library of domain knowledge	Atanasova, N.; Todorovski, L.; Dzeroski, S.; Rekar Remec, S.; Recknagel, F.; Kompare, B.
	2007	Predictive function and rules for population dynamics of Micyocystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms	Kim, B.; Cao, H.; Jeong, K.; Recknagel, F.; Joo, G.
	2006	Phytoplankton community dynamics of two adjacent Dutch lakes in response to seasons and eutrophication control unravelled by non-supervised artificial neural networks	Recknagel, F.; Talib, A.; van der Molen, D.