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Robust Neural Network-Based Discovery of Dynamical Systems
Using neural networks to represent the dynamics of a system has multiple advantages over sparse regression techniques such as SINDy, as the applicability of the former is not constrained to systems with dynamics that can only be accurately expressed using analytical expressions.
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