AI RESEARCH
Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
arXiv CS.LG
•
ArXi:2505.16208v2 Announce Type: replace-cross We apply Echo-State Networks to predict time series and statistical properties of the competitive Lotka-Volterra model in the chaotic regime. In particular, we nstrate that Echo-State Networks successfully learn the chaotic attractor of the competitive Lotka-Volterra model and reproduce histograms of dependent variables, including tails and rare events. We also nstrate that the Echo-State Networks reproduce rare events in the non-equilibrium simulations of the Lotka-Volterra system.