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Review and comparison of methods to study the contribution of variables in artificial neural network models
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 theExpand
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Uncertainty in ensemble forecasting of species distribution
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 processExpand
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Artificial neural networks as a tool in ecological modelling, an introduction
Abstract Artificial neural networks (ANNs) are non-linear mapping structures based on the function of the human brain. Expand
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Application of neural networks to modelling nonlinear relationships in ecology
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 relationshipsExpand
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A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination
In order to summarise the structure of ecological communities some ordination techniques are well known and widely-used, (e.g. Principal Component Analysis (PCA), Correspondence Analysis (CoA). Expand
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Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters
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 aquaticExpand
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Applications of artificial neural networks predicting macroinvertebrates in freshwaters
This paper focuses on the analysis of ANN development and application for predicting macroinvertebrate communities, a species group commonly used in freshwater assessment worldwide. Expand
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Climate change hastens the turnover of stream fish assemblages
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 alsoExpand
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The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake
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 mesotrophicExpand
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Identifying rice fields at risk from damage by the greater flamingo
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 testedExpand
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