articleTop 1% cited
Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters
Ecological Modelling · 2003 · Vol. 160(3) · pp. 265–280
Young‐Seuk Park✉(Université Toulouse III - Paul Sabatier)Régis Céréghino(Université Toulouse III - Paul Sabatier)Arthur Compin(Centre National de la Recherche Scientifique)Sovan Lek(Centre National de la Recherche Scientifique)
Freshwater macroinvertebrate diversity and ecologyFish Ecology and Management StudiesHydrological Forecasting Using AISpecies richnessSampling (signal processing)Artificial neural networkBackpropagationEcologyEnvironmental scienceDrainage basinSet (abstract data type)StatisticsMachine learning
Citations
406
FWCI
15.29
field-weighted impact
References
85
Percentile
99%
vs. same field & year
Citations per year
References
A review of techniques for parameter sensitivity analysis of environmental models
Environmental Monitoring and Assessment · 1994 · 1,878 citations
Algorithms for Clustering Data
Technometrics · 1990 · 7,836 citations
On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown
Journal of the American Statistical Association · 1967 · 3,257 citations
Artificial neural networks as a tool in ecological modelling, an introduction
Ecological Modelling · 1999 · 873 citations
Statistical Ecology: A Primer on Methods and Computing.
Journal of Applied Ecology · 1989 · 2,132 citations
A Cluster Separation Measure
IEEE Transactions on Pattern Analysis and Machine Intelligence · 1979 · 8,628 citations
Application of neural networks to modelling nonlinear relationships in ecology
Ecological Modelling · 1996 · 710 citations
Review and comparison of methods to study the contribution of variables in artificial neural network models
Ecological Modelling · 2003 · 1,240 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.