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nlin.CD2026
One-shot prediction of noise-induced bifurcations with reservoir computing
Nozomi Akashi, Takayuki Watanabe, Masato Hara +4
Dynamical systems can exhibit complex responses when noise is injected. In particular, dynamics can be qualitatively altered by dynamic noise, a phenomenon known as noise-induced b…
nlin.CD2025★ 1 cited
Incorporating Coupling Knowledge into Echo State Networks for Learning Spatiotemporally Chaotic Dynamics
Kuei-Jan Chu, Nozomi Akashi, Akihiro Yamamoto
Machine learning methods have shown promise in learning chaotic dynamical systems, enabling model-free short-term prediction and attractor reconstruction. However, when applied to…