Preprint
Oct 2026
Online training of Echo State Networks to predict chaotic dynamical systems
Echo State Networks (ESNs) are fundamentally important from the conceptual perspective of AI, because they provide simple and tractable frameworks for understanding temporal information processing, memory, and learning in dynamical systems. They are composed by an interconnected reservoir whose connectivity matrix rema...
A. Provata, Markos Syroukis, J. Hizanidis
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