A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data

Recent research has established the effectiveness of machine learning for data-driven prediction of the future evolution of unknown dynamical systems, including chaotic systems. However, these approaches require large amounts of measured time series data from the process to be predicted. When only l...

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Veröffentlicht in:	arXiv.org 2021-10
Hauptverfasser:	Canaday, Daniel, Pomerance, Andrew, Girvan, Michelle
Format:	Artikel
Sprache:	eng
Schlagworte:	Machine learning Prediction models Time measurement Time series
Online-Zugang:	Volltext
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