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Smoothing and stationarity enforcement framework for deep learning time-series forecasting
Time-series analysis and forecasting problems are generally considered as some of the most challenging and complicated problems in data mining. In this work, we propose a new complete framework for enhancing deep learning time-series models, which is based on a data preprocessing methodology. The pr...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096631/ https://www.ncbi.nlm.nih.gov/pubmed/33967398 http://dx.doi.org/10.1007/s00521-021-06043-1 |