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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...
Autores principales: | Mayerhöfer, Thomas G., Noda, Isao, Pahlow, Susanne, Heintzmann, Rainer, Popp, Jürgen |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
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 |
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