Deep neural networks for global wildfire susceptibility modelling
Wildfire susceptibility is of great importance to the prevention and management of global wildfires. Artificial neural networks (ANNs), particularly multilayer perceptrons (MLPs), have been widely used in wildfire susceptibility. Recently, deep neural networks (DNNs) have become state-of-the-art alg...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/d087d3f315e443c5bcb0852362543c18 |
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