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Learning noise-induced transitions by multi-scaling reservoir computing

Interdisciplinary Studies

Learning noise-induced transitions by multi-scaling reservoir computing

Z. Lin, Z. Lu, et al.

Discover how Zequn Lin, Zhaofan Lu, Zengru Di, and Ying Tang leverage reservoir computing to unveil noise-induced transitions in dynamic systems. Their innovative multi-scaling approach reveals hidden patterns in noisy data, offering superior insights into stochastic transitions and specific transition times, far surpassing traditional techniques.

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