Implementation of supervised principal component analysis for global sensitivity analysis of models with correlated inputs

Global Sensitivity Analysis (GSA) plays a significant role in quantifying the tangible impact of model inputs on the uncertainty of response variable. As GSA results are strongly affected by correlated inputs, several studies have considered this issue, but most of them are computationally expensive...

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Detalles Bibliográficos
Autores principales: Sharbaf, Mohammad Ali Mohammad Jafar, Abedini, Mohammad Javad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787458/
https://www.ncbi.nlm.nih.gov/pubmed/35095342
http://dx.doi.org/10.1007/s00477-021-02158-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787458/
https://www.ncbi.nlm.nih.gov/pubmed/35095342
http://dx.doi.org/10.1007/s00477-021-02158-y

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