Sep 11, 2021 · We present here a unification of the Sparse Identification of Nonlinear Dynamics (SINDy) formalism with neural ordinary differential equations.
We present here a unification of the Sparse Identification of Nonlinear Dynamics (SINDy) formalism with neural ordinary differential equations. The resulting ...
The proposed algorithm is based on the training procedure introduced in neural ordinary differential equations (NODE) and employs L1-weight de- cay of model ...
Duration: 39:43
Posted: Aug 30, 2022
Posted: Aug 30, 2022
A unification of the Sparse Identification of Nonlinear Dynamics (SINDy) formalism with neural ordinary differential equations allows learning of both ...
Sep 18, 2021 · We present here a unification of the Sparse Identification of Nonlinear Dynamics (SINDy) formalism with neural ordinary differential equations.
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling ... Structure-preserving sparse identification of nonlinear dynamics ...
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Sep 11, 2021 · We present here a unification of the Sparse Identification of Nonlinear Dynamics (SINDy) formalism with neural ordinary differential equations.
Structure-preserving sparse identification of nonlinear dynamics for data-driven modeling [Paper][Code] K Lee, N Trask, P Stinis Mathematical and Scientific ...
Jul 15, 2023 · A new methodology for structural identification of nonlinear assemblies is proposed in this paper that enables the discovery of stiffness and ...