DocumentCode :
2770305
Title :
Using MLP to Determine Abiotic Factors In uencing the Establishment of Insect Pest Species
Author :
Watts, Michael J. ; Worner, S.P.
Author_Institution :
Lincoln Univ., Canterbury
fYear :
0
fDate :
0-0 0
Firstpage :
1840
Lastpage :
1845
Abstract :
The use of multi-layer perceptrons (MLP) to determine the significance of climatic variables to the establishment of insect pest species is described. Results show that the MLP are able to learn to accurately predict the establishment of a pest species within a specific geographic region. Analysis of the MLP yielded insights into the contribution of the individual input variables and allowed for the identification of those variables that were most significant in either encouraging or inhibiting establishment.
Keywords :
environmental factors; environmental science computing; multilayer perceptrons; abiotic factors; insect pest species; multi-layer perceptrons; Artificial neural networks; Biodiversity; Biological system modeling; Environmental factors; Humans; Input variables; Insects; Multilayer perceptrons; Production; Risk management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.246903
Filename :
1716333
Link To Document :
بازگشت