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Volume 2, Pages 96-104
http://dx.doi.org/10.1100/tsw.2002.79
Research Article

Comparison of Artificial Neural Network (ANN) Model Development Methods for Prediction of Macroinvertebrate Communities in the Zwalm River Basin in Flanders, Belgium

Laboratory of Environmental Toxicology and Aquatic Ecology, Ghent University, J. Plateaustraat 22, B-9000 Gent, Belgium

Received 4 September 2001; Revised 26 October 2001; Accepted 29 October 2001

Copyright © 2002 Andy P. Dedecker et al.

Citations to this Article [17 citations]

The following is the list of published articles that have cited the current article.

  • Plm Goethals, N De Pauw, and T D'heygere, “Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates,” Ecological Modelling, vol. 160, no. 3, pp. 291–300, 2003. View at Publisher · View at Google Scholar
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  • Wim Gabriels, Niels De Pauw, Peter L. M. Goethals, Andy P. Dedecker, and Sovan Lek, “Applications of artificial neural networks predicting macroinvertebrates in freshwaters,” Aquatic Ecology, vol. 41, no. 3, pp. 491–508, 2007. View at Publisher · View at Google Scholar
  • Ans M. Mouton, Andy P. Dedecker, Sovan Lek, and Peter L. M. Goethals, “Selecting Variables for Habitat Suitability of Asellus (Crustacea, Isopoda) by Applying Input Variable Contribution Methods to Artificial Neural Network Models,” Environmental Modeling & Assessment, vol. 15, no. 1, pp. 65–79, 2009. View at Publisher · View at Google Scholar
  • Tina Tirelli, and Daniela Pessani, “ Use of decision tree and artificial neural network approaches to model presence/absence of Telestes muticellus in piedmont (North-Western Italy) ,” River Research and Applications, vol. 25, no. 8, pp. 1001–1012, 2009. View at Publisher · View at Google Scholar
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  • Yuqing Lin, Qiuwen Chen, Kai Chen, and Qingrui Yang, “Modelling the presence and identifying the determinant factors of dominant macroinvertebrate taxa in a karst river,” Environmental Monitoring and Assessment, vol. 188, no. 6, 2016. View at Publisher · View at Google Scholar