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Inducing explanatory rules for the prediction of algal blooms by genetic algorithms
1Department of Soil and Water, University of Adelaide, Glen Osmond, South Australia. Jason.Bobbin@adelaide.edu.au
Environment International
|November 8, 2001
Abstract:
This paper discusses the application of genetic algorithms to the construction of rule-based models. Water quality time series will be explored to extract predictive rules for algal blooms in freshwater lakes. The hypertrophic Japanese Lake Kasumigaura is used to demonstrate the technique.