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Inducing explanatory rules for the prediction of algal blooms by genetic algorithms

Authors
Journal
Environment International
0160-4120
Publisher
Elsevier
Publication Date
Volume
27
Identifiers
DOI: 10.1016/s0160-4120(01)00095-2
Keywords
  • Genetic Algorithms
  • Algae Blooms Simulation
  • Chlorophylla
  • Water Quality
  • Freshwater Lake
  • Rule Induction
Disciplines
  • Computer Science
  • Mathematics

Abstract

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.

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