title: Inducing explanatory rules for the prediction of algal blooms by genetic algorithms.
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.
authors.affiliation: Department of Soil and Water, University of Adelaide, Glen Osmond, South Australia. Jason.Bobbin@adelaide.edu.au
authors.forename: J
authors.initials: J
authors.lastname: Bobbin
authors.forename: F
authors.initials: F
authors.lastname: Recknagel
mesh_terms: D000465:Algorithms; D002734:Chlorophyll; D000077194:Chlorophyll A; D005068:Eutrophication; D005828:Genetics, Population; D014873:Water Pollutants / Q000009:adverse effects
chemical_list: D014873:Water Pollutants; D002734:Chlorophyll; D000077194:Chlorophyll A