Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters

By Young‐Seuk Park, R. Céréghino, Arthur Compin, Sovan Lek. 2003

417 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/fef5035c36d5419f37479d6681ead77be5a26b86

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Susan P. Worner
2. M. Gevrey

In Environmental Engineering

1. Susan P. Worner
2. M. Gevrey
3. Wojciech Samek

In Nature and Landscape Conservation

1. Susan P. Worner
2. M. Gevrey
3. Wojciech Samek

Citations in the corpus

• Modelling global insect pest species assemblages to determine risk of invasion (2006, methodology): “In this study a hierarchical cluster analysis with a Ward linkage method was applied to the SOM results to identify the edges of each cluster of sample vectors ( Park et al . 2003a, b).”