# Extracting Dynamical Models from Data

@article{Zimmer2021ExtractingDM, title={Extracting Dynamical Models from Data}, author={Michael F. Zimmer}, journal={ArXiv}, year={2021}, volume={abs/2110.06917} }

The FJet approach is introduced for determining the underlying model of a dynamical system. It borrows ideas from the fields of Lie symmetries as applied to differential equations (DEs), and numerical integration (such as Runge-Kutta). The technique can be considered as a way to use machine learning (ML) to derive a numerical integration scheme. The technique naturally overcomes the "extrapolation problem", which is when ML is used to extrapolate a model beyond the time range of the original…

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