A machine-learning enabled framework for quantifying uncertainties in parameters of computational models.

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Bibliographic Details
Title: A machine-learning enabled framework for quantifying uncertainties in parameters of computational models.
Authors: Roper, Taylor1, taylor.roper@ucdenver.edu, Hakula, Harri2, Harri.Hakula@aalto.fi, Butler, Troy1, troy.butler@ucdenver.edu
Source: Computers & Mathematics with Applications; Mar2025, Vol. 182, p184-212, 29p
Database: Applied Science & Technology Source
Description
ISSN:08981221
DOI:10.1016/j.camwa.2025.01.030