132 low dimensional chaotic attractors

The "132 low dimensional chaotic attractors" dataset contains a collection of chaotic time series generated from various low-dimensional dynamical systems, and it is used to evaluate the performance of forecasting models in capturing the underlying dynamics of chaotic behavior.

Papers using 132 low dimensional chaotic attractors (1)

Turning Time Series into Algebraic Equations: Symbolic Machine Learning for Interpretable Modeling of Chaotic Time Series2026