Data driven theory for knowledge discovery in the exact sciences with applications to thermonuclear fusion

In recent years, the techniques of the exact sciences have been applied to the analysis of increasingly complex and non-linear systems. The related uncertainties and the large amounts of data available have progressively shown the limits of the traditional hypothesis driven methods, based on first p...

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Detalles Bibliográficos
Autores principales: Murari, A., Peluso, E., Lungaroni, M., Gaudio, P., Vega, J., Gelfusa, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669895/
https://www.ncbi.nlm.nih.gov/pubmed/33199734
http://dx.doi.org/10.1038/s41598-020-76826-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7669895/
https://www.ncbi.nlm.nih.gov/pubmed/33199734
http://dx.doi.org/10.1038/s41598-020-76826-4

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