A novel approach for estimating largest Lyapunov exponents in one-dimensional chaotic time series using machine learning.

Understanding and quantifying chaos from data remains challenging. We present a data-driven method for estimating the largest Lyapunov exponent (LLE) from one-dimensional chaotic time series using machine learning. A predictor is trained to produce o…

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