Investigation of Proper Orthogonal Decomposition for Echo State Networks

Echo State Networks (ESN) are a type of Recurrent Neural Network that yields promising results in representing time series and nonlinear dynamic systems. Although they are equipped with a very efficient training procedure, Reservoir Computing strategies, such as the ESN, require high-order networks,...

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Veröffentlicht in:	arXiv.org 2023-05
Hauptverfasser:	Jordanou, Jean Panaioti, Antonelo, Eric Aislan, Camponogara, Eduardo, Gildin, Eduardo
Format:	Artikel
Sprache:	eng
Schlagworte:	Difference equations Dynamical systems Model reduction Nonlinear dynamics Nonlinear systems Optimal control Predictive control Proper Orthogonal Decomposition Recurrent neural networks Robustness (mathematics)
Online-Zugang:	Volltext
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