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cs.LG2025
Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing
Tamon Nakano, Sebastian Baur, Christoph Räth
As an alternative approach for predicting complex dynamical systems where physics-based models are no longer reliable, reservoir computing (RC) has gained popularity. The hybrid ap…
cs.LG2021
Controlling nonlinear dynamical systems into arbitrary states using machine learning
Alexander Haluszczynski, Christoph Räth
We propose a novel and fully data driven control scheme which relies on machine learning (ML). Exploiting recently developed ML-based prediction capabilities of complex systems, we…