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

GT Naozuka, HL Rocha, RS Silva, RC Almeida - Nonlinear Dynamics, 2022 - Springer
Abstract Machine learning methods have revolutionized studies in several areas of
knowledge, helping to understand and extract information from experimental data. Recently …
被引用次数：18 相关文章

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

GT Naozuka, HL Rocha, RS Silva… - Nonlinear …, 2022 - europepmc.org
Machine learning methods have revolutionized studies in several areas of knowledge,
helping to understand and extract information from experimental data. Recently, these data …

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

GT Naozuka, HL Rocha, RS Silva… - Nonlinear …, 2022 - search.ebscohost.com
Abstract Machine learning methods have revolutionized studies in several areas of
knowledge, helping to understand and extract information from experimental data. Recently …

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

GT Naozuka, HL Rocha, RS Silva… - Nonlinear …, 2022 - pubmed.ncbi.nlm.nih.gov
Machine learning methods have revolutionized studies in several areas of knowledge,
helping to understand and extract information from experimental data. Recently, these data …
[HTML] nih.gov

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

GT Naozuka, HL Rocha, RS Silva… - Nonlinear …, 2022 - ncbi.nlm.nih.gov
Abstract Machine learning methods have revolutionized studies in several areas of
knowledge, helping to understand and extract information from experimental data. Recently …

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

GT Naozuka, HL Rocha, RS Silva… - Nonlinear …, 2022 - search.proquest.com
Abstract Machine learning methods have revolutionized studies in several areas of
knowledge, helping to understand and extract information from experimental data. Recently …

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

GT Naozuka, HL Rocha, RS Silva… - Nonlinear …, 2022 - europepmc.org
Abstract Machine learning methods have revolutionized studies in several areas of
knowledge, helping to understand and extract information from experimental data. Recently …