Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates
- 1 February 2003
- journal article
- conference paper
- Published by Elsevier in Ecological Modelling
- Vol. 160 (3), 291-300
- https://doi.org/10.1016/s0304-3800(02)00260-0
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Development of a concept for integrated ecological river assessment in Flanders, BelgiumJournal of Limnology, 2001
- Aggregation and emergence in ecological modelling: integration of ecological levelsEcological Modelling, 2000
- Modelling water quality, bioindication and population dynamics in lotic ecosystems using neural networksEcological Modelling, 1999
- Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great BritainWater Research, 1998
- A review of methods for the assessment of prediction errors in conservation presence/absence modelsEnvironmental Conservation, 1997
- Using machine learning techniques in the construction of models. II. Data analysis with rule inductionEcological Modelling, 1997
- The Role of Macroinvertebrates in Stream Ecosystem FunctionAnnual Review of Entomology, 1996
- Forecasting futures trading volume using neural networksJournal of Futures Markets, 1995
- Research on the Spatial Variability of Three Sediment Types in FlandersPublished by Springer Nature ,1995
- Induction of decision treesMachine Learning, 1986