A novel extreme adaptive GRU for multivariate time series forecasting
Abstract Multivariate time series forecasting is a critical problem in many real-world scenarios. Recent advances in deep learning have significantly enhanced the ability to tackle such problems. However, a primary challenge in time series forecasting comes from the imbalanced time series data that...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Nature Portfolio
2024-02-01
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| Reeks: | Scientific Reports |
| Online toegang: | https://doi.org/10.1038/s41598-024-53460-y |
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