Correcting systematic errors by hybrid 2D correlation loss functions in nonlinear inverse modelling

Recently a new family of loss functions called smart error sums has been suggested. These loss functions account for correlations within experimental data and force modeled data to obey these correlations. As a result, multiplicative systematic errors of experimental data can be revealed and correct...

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Detalles Bibliográficos
Autores principales: Mayerhöfer, Thomas G., Noda, Isao, Pahlow, Susanne, Heintzmann, Rainer, Popp, Jürgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118180/
https://www.ncbi.nlm.nih.gov/pubmed/37079649
http://dx.doi.org/10.1371/journal.pone.0284723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10118180/
https://www.ncbi.nlm.nih.gov/pubmed/37079649
http://dx.doi.org/10.1371/journal.pone.0284723

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