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Automated reverse engineering of nonlinear dynamical systems
Complex nonlinear dynamics arise in many fields of science and engineering, but uncovering the underlying differential equations directly from observations poses a challenging task. The ability to symbolically model complex networked systems is key to understanding them, an open problem in many disc...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
National Academy of Sciences
2007
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1891254/ https://ncbi.nlm.nih.gov/pubmed/17553966 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0609476104 |
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