Výsledky vyhledávání - "Tom D'Heygere"

Decision Tree Models for Prediction of Macroinvertebrate Taxa in the River Axios (Northern Greece)

Autor: Andy Dedecker, M. Lazaridou-Dimitriadou, Peter Goethals, Niels De Pauw, Eleni Dakou, Tom D'Heygere

Publikováno v: Aquatic Ecology. 41:399-411

In this study, decision tree models were induced to predict the habitat suitability of six macroinvertebrate taxa: Asellidae, Baetidae, Caenidae, Gammaridae, Gomphidae and Heptageniidae. The modelling techniques were applied on a dataset of 102 sampl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c73d88778f0542376fc643cdefdd9697
https://doi.org/10.1007/s10452-006-9058-y

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Genetic algorithms for optimisation of predictive ecosystems models based on decision trees and neural networks

Autor: Niels De Pauw, Peter Goethals, Tom D'Heygere

Publikováno v: Ecological Modelling. 195:20-29

The selection of appropriate input variables in predictive ecological modelling is an important issue since numerous variables can be involved. Most of the input variables cannot be omitted because it results in a significant loss of information. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e64c73e6e74340ef9e5d054d02cded05
https://doi.org/10.1016/j.ecolmodel.2005.11.005

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Development of an in-stream migration model for Gammarus pulex L. (Crustacea, Amphipoda) as a tool in river restoration management

Autor: Peter Goethals, Niels De Pauw, Tom D'Heygere, Andy Dedecker

Publikováno v: Aquatic Ecology. 40:249-261

Ecological models can act as interesting tools to support decision-making in river restoration management. In particular models which are capable of predicting the habitat requirements of species are of considerable importance to ensure that the plan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84263cf437623b01beab6b66113adc7b
https://doi.org/10.1007/s10452-005-9022-2

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Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates

Autor: Niels De Pauw, Peter Goethals, Tom D'Heygere

Publikováno v: Ecological Modelling. 160:291-300

Predicting freshwater organisms based on machine learning is becoming more and more reliable due to the availability of appropriate datasets, advanced modelling techniques and the continuously increasing capacity of computers. A database consisting o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7305aa05e017200bedf5506dd7614931
https://doi.org/10.1016/s0304-3800(02)00260-0

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Development of predictive ecological models for river restoration

Autor: Tom, D'heygere, Ans, Mouton, Andy, Dedecker, Veronique, Adriaenssens, Peter L M, Goethals, Niels, De Pauw

Publikováno v: Communications in agricultural and applied biological sciences. 69(2)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::283967228ee2d05c2eac3f7fa572ff71
https://pubmed.ncbi.nlm.nih.gov/15560177

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Application of artificial neural network models to analyse the relationships between Gammarus pulex L. (Crustacea, Amphipoda) and river characteristics

Autor: Peter Goethals, Niels De Pauw, Sovan Lek, Andy Dedecker, Tom D'Heygere, Muriel Gevrey

Publikováno v: Environmental monitoring and assessment. 111(1-3)

This study aimed at analysing the relationship between river characteristics and abundance of Gammarus pulex. To this end, four methods which can identify the relative contribution and/or the contribution profile of the input variables in neural netw

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e89fdc9c558bc63c49ee35d974eb1cb
https://pubmed.ncbi.nlm.nih.gov/16311829

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Optimisation of the monitoring strategy of macroinvertebrate communities in the river Dender, in relation to the EU Water Framework Directive

Autor: Niels De Pauw, Peter Goethals, Tom D'Heygere

Publikováno v: The Scientific World Journal
The Scientific World Journal, Vol 2, Pp 607-617 (2002)

The Dender basin in Flanders (Belgium) was used as a case study to implement the European Union (EU) Water Framework Directive. During the last 5 years, ample research on pollution loads and ecological water quality has been done on the Dender River.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0b6d7d1393431559ada18fb4ae6c0ea
https://pubmed.ncbi.nlm.nih.gov/12805987

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Akademický článek

Development of an in-stream migration model for Gammarus pulex L. (Crustacea, Amphipoda) as a tool in river restoration management.

Autor: Andy Dedecker, Peter Goethals, Tom D’heygere, Niels Pauw

Publikováno v: Aquatic Ecology; Jun2006, Vol. 40 Issue 2, p249-261, 13p

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Development of artificial neural network models predicting macroinvertebrate taxa in the river Axios (Northern Greece)

Autor: Eleni Dakou, Andy Dedecker, Tom D'Heygere, Peter Goethals, M. Lazaridou-Dimitriadou, N. De Pauw, Wim Gabriels

Publikováno v: Scopus-Elsevier

Artificial Neural Network models (ANNs) were used to predict habitat suitability for 12 macroinvertebrate taxa, using environmental input variables. This modelling technique was applied to a dataset of 102 measurement series collected in 31 sampling

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::504663701373938107a2ec1c46c1d090
http://www.scopus.com/inward/record.url?eid=2-s2.0-33845934199&partnerID=MN8TOARS

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Akademický článek

EGU General Assembly 2014.

Publikováno v: Geophysical Research Abstracts. 2014, Vol. 16, p1-15054. 15054p.

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