Загрузка...
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Extracting governing equations from data is a central challenge in many diverse areas of science and engineering. Data are abundant whereas models often remain elusive, as in climate science, neuroscience, ecology, finance, and epidemiology, to name only a few examples. In this work, we combine spar...
Сохранить в:
| Опубликовано в: : | Proc Natl Acad Sci U S A |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
National Academy of Sciences
2016
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4839439/ https://ncbi.nlm.nih.gov/pubmed/27035946 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1517384113 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|