Cargando…
Predicting clustered weather patterns: A test case for applications of convolutional neural networks to spatio-temporal climate data
Deep learning techniques such as convolutional neural networks (CNNs) can potentially provide powerful tools for classifying, identifying, and predicting patterns in climate and environmental data. However, because of the inherent complexities of such data, which are often spatio-temporal, chaotic,...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987167/ https://www.ncbi.nlm.nih.gov/pubmed/31992743 http://dx.doi.org/10.1038/s41598-020-57897-9 |