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Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VA...

Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VA...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_490f484dd2f04691bf7b00831de6a97a

Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration

About this item

Full title

Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration

Author / Creator

Publisher

Cham: Springer International Publishing

Journal title

Advanced Modeling and Simulation in Engineering Sciences, 2023-06, Vol.10 (1), p.9-28, Article 9

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Calibration of complex system models with a large number of parameters using standard optimization methods is often extremely time-consuming and not fully automated due to the reliance on all-inclusive expert knowledge. We propose a sensitivity-guided iterative parameter identification and data generation algorithm. The sensitivity analysis replace...

Alternative Titles

Full title

Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_490f484dd2f04691bf7b00831de6a97a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_490f484dd2f04691bf7b00831de6a97a

Other Identifiers

ISSN

2213-7467

E-ISSN

2213-7467

DOI

10.1186/s40323-023-00246-y

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