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|Title:||Comparison of a self organising map and simple evolving connectionist system for predicting insect pest establishment|
|Citation:||International Journal of Information Technology, 2006; 12(6):35-42|
|Publisher:||International Academy of Sciences|
|Watts, M.J. and Worner, S.P|
|Abstract:||A comparison of two artificial neural network methods for predicting the risk of insect pest species establishment in regions where they are not normally found is presented. The ANN methods include a well-known unsupervised learning algorithm and a relatively new supervised constructive method. A New Zealand pest species assemblage as an example was used to compare model predictions. Both methods gave similar results for already established and non-established species.|
|Keywords:||Self-Organising Maps; Evolving Connectionist Systems; pest invasion prediction|
|Rights:||(C) Singapore computer society 2006|
|Appears in Collections:||Earth and Environmental Sciences publications|
Environment Institute publications
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