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Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study
In recent years, machine-learning techniques, particularly deep learning, have outperformed traditional time-series forecasting approaches in many contexts, including univariate and multivariate predictions. This study aims to investigate the capability of (i) gated recurrent neural networks, includ...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9230140/ https://www.ncbi.nlm.nih.gov/pubmed/35755176 http://dx.doi.org/10.1016/j.mlwa.2022.100300 |