Lek S., Guégan Jean-François. (1999). Artificial neural networks as a tool in ecological modelling : an introduction. In :
Lek S. (ed.), Guégan Jean-François (ed.). Application of artificial neural networks in ecological modelling. Ecological Modelling, 120 (2-3), p. 65-73. Applications of ANNs to Ecological Modelling : International Workshop, Toulouse (FRA), 1998/12. ISSN 0304-3800.
Titre du document
Artificial neural networks as a tool in ecological modelling : an introduction
Année de publication
1999
Auteurs
Lek S., Guégan Jean-François
In
Lek S. (ed.), Guégan Jean-François (ed.) Application of artificial neural networks in ecological modelling
Source
Ecological Modelling, 1999,
120 (2-3), p. 65-73 ISSN 0304-3800
Colloque
Applications of ANNs to Ecological Modelling : International Workshop, Toulouse (FRA), 1998/12
Artificial neural networks (ANNs) are non-linear mapping structures based on the function of the human brain. They have been shown to be universal and highly flexible function approximators for any data. These make powerful tools for models, especially when the underlying data relationships are unknown. For this reason, the international workshop on the applications of ANNs to ecological modelling was organized in Toulouse, France (December 1998). During this meeting, we discussed different methods, and their reliability to deal with ecological data. The special issue of this ecological modelling journal begins with the state-of-the-art with emphasis on the development of structural dynamic models presented by S.E. Jorgensen (DK). Then, to illustrate the ecological applications of ANNs, examples are drawn from several fields, e.g. terrestrial and aquatic ecosystems, remote sensing and evolutionary ecology. In this paper, we present some of the most important papers of the first workshop about ANNs in ecological modelling. We briefly introduce here two algorithms frequently used ; (i) one supervised network, the backpropagation algorithm ; and (ii) one unsupervised network, the Kohonen self-organizing mapping algorithm. The future development of ANNs is discussed in the present work. Several examples of modelling of ANNs in various areas of ecology are presented in this special issue. (Résumé d'auteur)
Plan de classement
Environnement, écologie générale [021ENVECO]
;
Intelligence artificielle [122INTAR]
Descripteurs
INTELLIGENCE ARTIFICIELLE ; MODELISATION ; ECOLOGIE ; METHODE D'ANALYSE ; ALGORITHME ; PREVISION
Localisation
Fonds IRD [F A010020706]
Identifiant IRD
fdi:010020707
