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International Journal for Uncertainty Quantification
Free Online Access

ISSN 印刷: 2152-5080
ISSN オンライン: 2152-5099

Current Year

巻 14, 2024 / 発行 1

DOI: 10.1615/Int.J.UncertaintyQuantification.v14.i1

Table of Contents:

IMPROVING ACCURACY AND COMPUTATIONAL EFFICIENCY OF OPTIMAL DESIGN OF EXPERIMENTS VIA GREEDY BACKWARD APPROACH
1-18 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2023046204
BAYESIAN CALIBRATION WITH ADAPTIVE MODEL DISCREPANCY
19-41 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2023046331
A BAYESIAN NEURAL NETWORK APPROACH TO MULTI-FIDELITY SURROGATE MODELING
43-60 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2023044584
LONG SHORT-TERM RELEVANCE LEARNING
61-87 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2023039739
NESTED OPTIMAL UNCERTAINTY QUANTIFICATION FOR AN EFFICIENT INCORPORATION OF RANDOM FIELDS−APPLICATION TO SHEET METAL FORMING
89-106 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2023047256
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