Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/27235
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Type: Journal article
Title: Inducing explanatory rules for the prediction of algal blooms by genetic algorithms
Author: Bobbin, J.
Recknagel, F.
Citation: Environment International, 2001; 27(2-3 Special Issue SI):237-242
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2001
ISSN: 0160-4120
1873-6750
Statement of
Responsibility: 
Jason Bobbin and Friedrich Recknagel
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.
Keywords: Genetic algorithms
Algae blooms simulation
Chlorophylla
Water quality
Freshwater lake
Rule induction
DOI: 10.1016/S0160-4120(01)00095-2
Description (link): http://www.elsevier.com/wps/find/journaldescription.cws_home/326/description#description
Published version: http://dx.doi.org/10.1016/s0160-4120(01)00095-2
Appears in Collections:Aurora harvest 6
Environment Institute publications
Soil and Land Systems publications

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