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An adaptive approach to machine learning for compact particle accelerators

Machine learning (ML) tools are able to learn relationships between the inputs and outputs of large complex systems directly from data. However, for time-varying systems, the predictive capabilities of ML tools degrade if the systems are no longer accurately represented by the data with which the ML...

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Detalles Bibliográficos
Autores principales: Scheinker, Alexander, Cropp, Frederick, Paiagua, Sergio, Filippetto, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8478924/
https://www.ncbi.nlm.nih.gov/pubmed/34584162
http://dx.doi.org/10.1038/s41598-021-98785-0