A DNN-based pipeline with Gauss-Jacobi quadrature and alternating sparse/global optimization discovers fractional differential equations from sparse, noisy data.
Automated reverse engineering of nonlinear dynamical systems
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A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems
A DNN-based pipeline with Gauss-Jacobi quadrature and alternating sparse/global optimization discovers fractional differential equations from sparse, noisy data.