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https://hdl.handle.net/2440/68703
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Type: | Conference paper |
Title: | Using MLP to Determine Abiotic Factors Influencing the Establishment of Insect Pest Species |
Author: | Watts, M. Worner, S. |
Citation: | 2006 International Joint Conference on Neural Networks, 2006; pp.3506-3511 |
Publisher: | IEEE |
Publisher Place: | New York |
Issue Date: | 2006 |
ISBN: | 0780394909 |
Conference Name: | International Joint Conference on Neural Networks (2006 : Vancouver, BC, Canada) |
Statement of Responsibility: | Michael J. Watts and S. P. Worner |
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. |
Rights: | ©2006 IEEE |
DOI: | 10.1109/IJCNN.2006.246903 |
Published version: | http://dx.doi.org/10.1109/ijcnn.2006.246903 |
Appears in Collections: | Aurora harvest Earth and Environmental Sciences publications Environment Institute publications |
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