Quantifying the Uncertainty of Reservoir Computing: Confidence Intervals for Time-Series Forecasting
Recently, reservoir computing (RC) has emerged as one of the most effective algorithms to model and forecast volatile and chaotic time series. In this paper, we aim to contribute to the understanding of the uncertainty associated with the predictions made by RC models and to propose a methodology to...
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| Glavni autori: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2024-10-01
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| Serija: | Mathematics |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2227-7390/12/19/3078 |
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