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Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms

D. Kim, H. Cao, K. Jeong, F. Recknagel, and G. Joo. Ecological Modelling, 203 (1-2): 147--156 (24 April 2007)Special Issue on Ecological Informatics: Biologically-Inspired Machine Learning, 4th Conference of the International Society for Ecological Informatics.
DOI: doi:10.1016/j.ecolmodel.2006.03.040

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Other publications of authors with the same name

Modelling Microcystis aeruginosa bloom dynamics in the Nakdong River by means of evolutionary computation and statistical approachK. Jeong, D. Kim, P. Whigham, and G. Joo. Ecological Modelling, 161 (1-2): 67--78 (1 March 2003)Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithmsD. Kim, H. Cao, K. Jeong, F. Recknagel, and G. Joo. Ecological Modelling, 203 (1-2): 147--156 (24 April 2007)Special Issue on Ecological Informatics: Biologically-Inspired Machine Learning, 4th Conference of the International Society for Ecological Informatics.River phytoplankton prediction model by Artificial Neural Network: Model performance and selection of input variables to predict time-series phytoplankton proliferations in a regulated river system.K. Jeong, D. Kim, and G. Joo. Ecol. Informatics, 1 (3): 235-245 (2006)Stream modification patterns in a river basin: Field survey and self-organizing map (SOM) application.K. Jeong, D. Hong, M. Byeon, J. Jeong, H. Kim, D. Kim, and G. Joo. Ecol. Informatics, 5 (4): 293-303 (2010)Role of macrophytes as microhabitats for zooplankton community in lentic freshwater ecosystems of South Korea.J. Choi, K. Jeong, S. Kim, G. La, K. Chang, and G. Joo. Ecol. Informatics, (2014)Relationships of otter populations with fish, macroinvertebrates and water quality across three Korean rivers revealed by inferential modelling based on evolutionary computation.S. Hong, F. Recknagel, H. Kim, T. Chon, and G. Joo. Ecol. Informatics, (2020)Patterning habitat preference of avifaunal assemblage on the Nakdong River estuary (South Korea) using self-organizing map.C. Lee, J. Jang, K. Jeong, D. Kim, and G. Joo. Ecol. Informatics, 5 (2): 89-96 (2010)Discovery of predictive rule sets for chlorophyll-a dynamics in the Nakdong River (Korea) by means of the hybrid evolutionary algorithm HEA.H. Cao, F. Recknagel, G. Joo, and D. Kim. Ecol. Informatics, 1 (1): 43-53 (2006)Factors influencing initial population establishment and habitat expansion of introduced nutrias (Myocastor coypus) in South Korea.S. Hong, J. Kim, Y. Kim, Y. Do, D. Kim, and G. Joo. Ecol. Informatics, (2020)Long-term adaptations of a migratory bird (Little Tern Sternula albifrons) to quasi-natural flooding disturbance.J. Jang, S. Chun, K. Kim, K. Jeong, D. Kim, J. Kim, G. Joo, and K. Jeong. Ecol. Informatics, (2015)