Literature DB >> 11697676

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

J Bobbin1, F 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.

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Year:  2001        PMID: 11697676     DOI: 10.1016/s0160-4120(01)00095-2

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  1 in total

1.  Time series forecasting of cyanobacteria blooms in the Crestuma Reservoir (Douro River, Portugal) using artificial neural networks.

Authors:  Luis Oliva Teles; Vitor Vasconcelos; Elisa Pereira; Martin Saker
Journal:  Environ Manage       Date:  2006-08       Impact factor: 3.644

  1 in total

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