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- Publications
- Influence
Review and comparison of methods to study the contribution of variables in artificial neural network models
- M. Gevrey, I. Dimopoulos, S. Lek
- Mathematics
- 15 February 2003
Abstract Convinced by the predictive quality of artificial neural network (ANN) models in ecology, we have turned our interests to their explanatory capacities. Seven methods which can give the… Expand
Uncertainty in ensemble forecasting of species distribution
- L. Buisson, W. Thuiller, Nicolas Casajus, S. Lek, G. Grenouillet
- Environmental Science
- 1 April 2010
Species distribution modelling has been widely applied in order to assess the potential impacts of climate change on biodiversity. Many methodological decisions, taken during the modelling process… Expand
Artificial neural networks as a tool in ecological modelling, an introduction
TLDR
Application of neural networks to modelling nonlinear relationships in ecology
- S. Lek, M. Delacoste, P. Baran, I. Dimopoulos, J. Lauga, S. Aulagnier
- Mathematics
- 1 September 1996
Abstract Two predictive modelling principles are discussed: multiple regression (MR) and neural networks (NN). The MR principle of linear modelling often gives low performance when relationships… Expand
A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination
- J. L. Giraudel, S. Lek
- Computer Science
- 1 December 2001
TLDR
Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters
- Young-Seuk Park, R. Céréghino, A. Compin, S. Lek
- Mathematics
- 15 February 2003
Abstract Two artificial neural networks (ANNs), unsupervised and supervised learning algorithms, were applied to suggest practical approaches for the analysis of ecological data. Four major aquatic… Expand
Applications of artificial neural networks predicting macroinvertebrates in freshwaters
- P. Goethals, A. Dedecker, W. Gabriels, S. Lek, N. Pauw
- Computer Science
- Aquatic Ecology
- 9 May 2007
TLDR
Climate change hastens the turnover of stream fish assemblages
- L. Buisson, W. Thuiller, S. Lek, P. Lim, G. Grenouillet
- Biology
- 1 October 2008
Stream fish are expected to be significantly influenced by climate change, as they are ectothermic animals whose dispersal is limited within hydrographic networks. Nonetheless, they are also… Expand
The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake
- S. Brosse, J. Guégan, J. Tourenq, S. Lek
- Environmental Science
- 17 August 1999
The present work describes a comparison of the ability of multiple linear regression (MLR) and artificial neural networks (ANN) to predict fish spatial occupancy and abundance in a mesotrophic… Expand
Identifying rice fields at risk from damage by the greater flamingo
- C. Tourenq, S. Aulagnier, +4 authors J. Martin
- Biology
- 1 February 2001
Summary
1
Since the early 1980s, greater flamingos Phoenicopterus ruber roseus have been reported to cause damage to the rice fields of the Camargue, south-eastern France.
2
We tested… Expand