An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data

Volume: 178, Issue: 3-4, Pages: 389 - 397
Published: Nov 1, 2004
Abstract
Artificial neural networks (ANNs) are receiving greater attention in the ecological sciences as a powerful statistical modeling technique; however, they have also been labeled a “black box” because they are believed to provide little explanatory insight into the contributions of the independent variables in the prediction process. A recent paper published in Ecological Modelling [Review and comparison of methods to study the contribution of...
Paper Details
Title
An accurate comparison of methods for quantifying variable importance in artificial neural networks using simulated data
Published Date
Nov 1, 2004
Volume
178
Issue
3-4
Pages
389 - 397
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