Previous institute | Top | Publications | Project | Universiteit Gent; Faculteit Bio-ingenieurswetenschappen; Vakgroep Dierwetenschappen en Aquatische Ecologie; Laboratorium voor Milieutoxicologie (GhEnToxLab), more |
Project | Top | Publications | Project | - Development and application of neural network models predicting macroinvertebrate communities for assessment and restoration, more
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Publications (5) | Top | Publications | Project | A1 Publication [show] | - Mouton, A.M.; Dedecker, A.P.; Lek, S.; Goethals, P.L.M. (2010). Selecting variables for habitat suitability of Asellus (Crustacea, Isopoda) by applying input variable contribution methods to artificial neural network models. Environ. Model. Assessm. 15(1): 65-79. dx.doi.org/10.1007/s10666-009-9192-8, more
| Book chapters (3) [show] | - Adriaenssens, V.; Goethals, P.; Dedecker, A.; D'heygere, T.; De Pauw, N. (2002). Data collection in the Zwalm river basin for the prediction of the effect of restoration actions on macroinvertebrate communities, in: Goethals, P. et al. Ecological informatics applications in water management conference, Gent (Belgium), 6-7 November 2002: Abstract book. pp. 14, more
- Dedecker, A.; Goethals, P.L.M.; De Pauw, N. (2002). Use of Artificial Neural Network (ANN) models and Geographical Information systems (GIS) to simulate the migration of Gammarus pulex in the Zwalm river basin (Flanders, Belgium), in: Goethals, P. et al. Ecological informatics applications in water management conference, Gent (Belgium), 6-7 November 2002: Abstract book. pp. 42, more
- D'heygere, T.; Adriaenssens, V.; Dedecker, A.; Gabriels, W.; Goethals, P.; De Pauw, N. (2002). Development of a decision support system for integrated water management in the Zwalm river basin, Belgium, in: Goethals, P. et al. Ecological informatics applications in water management conference, Gent (Belgium), 6-7 November 2002: Abstract book. pp. 36, more
| Other publication [show] | - Goethals, P.; Dedecker, A.; Gabriels, W.; De Cooman, W.; De Pauw, N. (2006). Analyse van relaties tussen sedimentkarakteristieken en macro-invertebratengemeenschappen a.d.h.v. data mining technieken. Water: Tijdschrift over Integraal Waterbeleid 26(2): 75-78, more
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