Using artificial neural networks to predict the distribution of bacterial crop diseases from biotic and abiotic factors
Constructing accurate computational global distribution models is an important first step towards the understanding of bacterial crop diseases and can lead to insights into the biology of disease-causing bacteria species. We constructed artificial neural network models of the geographic distribution...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
International Academy of Ecology and Environmental Sciences
2012-03-01
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| Series: | Computational Ecology and Software |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/ces/articles/2012-2(1)/using-artificial-neural-networks-to-predict-the-distribution.pdf |