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SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysis

Machine learning methods have revolutionized studies in several areas of knowledge, helping to understand and extract information from experimental data. Recently, these data-driven methods have also been used to discover structures of mathematical models. The sparse identification of nonlinear dyna...

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Detalles Bibliográficos
Autores principales: Naozuka, Gustavo T., Rocha, Heber L., Silva, Renato S., Almeida, Regina C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424817/
https://www.ncbi.nlm.nih.gov/pubmed/36060282
http://dx.doi.org/10.1007/s11071-022-07755-2