Using MLP to determine abiotic factors influencing the establishment of insect pest species

Watts, Michael J.; Worner, Susan P.

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

multi-layer perceptrons; artificial neural networks; environmental science computing; insect pests; abiotic factors

Fields of Research

0501 Ecological Applications

Date

2006-07

Type

Conference Contribution - Published (Conference Paper)

© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Citation

Watts, M. J., & Worner, S. P. (2006). Using MLP to determine abiotic factors influencing the establishment of insect pest species. In 2006 International Joint Conference on Neural Networks, Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, July 16-21, 2006 (pp. 1840-1845). Piscataway, NJ: IEEE.