Adelaide Research & Scholarship
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https://hdl.handle.net/2440/70698
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| Type: | Conference paper |
| Title: | Null-model validation of MLP input contribution analysis in ecology |
| Author: | Watts, Michael John Worner, Sue P. |
| Citation: | Proceedings: Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence: HIS-NCEI 2006, December 13-15, 2006, Auckland, New Zealand: pp.63-63 |
| Publisher: | IEEE Computer Society |
| Issue Date: | 2006 |
| ISBN: | 0769526624 |
| Conference Name: | International Conference on Hybrid Intelligent Systems (6th : 2006 : Auckland, New Zealand) Conference on Neuro-Computing and Evolving Intelligence (4th : 2006 : Auckland, New Zealand) |
| School/Discipline: | School of Earth and Environmental Sciences |
| Statement of Responsibility: | Michael J. Watts and S. P. Worner |
| Abstract: | 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. |
| Rights: | © 2006 IEEE |
| DOI: | 10.1109/HIS.2006.51 |
| Appears in Collections: | Earth and Environmental Sciences publications Environment Institute publications |
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