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Hierarchical attention network for multivariate time series long-term forecasting
Multivariate time series long-term forecasting has always been the subject of research in various fields such as economics, finance, and traffic. In recent years, attention-based recurrent neural networks (RNNs) have received attention due to their ability of reducing error accumulation. However, th...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204070/ https://www.ncbi.nlm.nih.gov/pubmed/35730045 http://dx.doi.org/10.1007/s10489-022-03825-5 |