loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
Null-Model Validation of MLP Input Contribution Analysis in Ecology
Auckland, New Zealand
December 13-December 15
ISBN: 0-7695-2662-4
Michael J. Watts, Lincoln University, New Zealand
S.P. Worner, Lincoln University, New Zealand
A method is presented for applying a null-model analysis to the verification of the significance of the input neurons of Multi-Layer Perceptrons (MLP). This method was applied to a problem from ecology, namely the establishment of invasive insect pest species. Previous work has described how the MLP were trained to predict species establishment from climate data, and to identify which climatic factors are significant. The null-model analysis method described here was used to validate these predictions.
Citation:
Michael J. Watts, S.P. Worner, "Null-Model Validation of MLP Input Contribution Analysis in Ecology," his, pp.63, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.