ADAM-SINDy: An efficient optimization framework for parameterized nonlinear dynamical system identification
Identifying nonlinear dynamical systems characterized by nonlinear parameters presents significant challenges in deriving mathematical models that enhance understanding of physical phenomena. Traditional methods, such as Sparse Identification of Nonlinear Dynamics (SINDy) and symbolic regression, ca...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Physical Society
2026-01-01
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| Colección: | Physical Review Research |
| Acceso en línea: | http://doi.org/10.1103/dwkk-5g2h |
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