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A D-Optimal Sequential Calibration Design for Computer Models
Content Provider | MDPI |
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Author | Diao, Huaimin Wang, Yan Wang, Dianpeng |
Copyright Year | 2022 |
Description | The problem with computer model calibration by tuning the parameters associated with computer models is significant in many engineering and scientific applications. Although several methods have been established to estimate the calibration parameters, research focusing on the design of calibration parameters remains limited. Therefore, this paper proposes a sequential computer experiment design based on the D-optimal criterion, which can efficiently tune the calibration parameters while improving the prediction ability of the calibrated computer model. Numerical comparisons of the simulated and real data demonstrate the efficiency of the proposed technique. |
Starting Page | 1375 |
e-ISSN | 22277390 |
DOI | 10.3390/math10091375 |
Journal | Mathematics |
Issue Number | 9 |
Volume Number | 10 |
Language | English |
Publisher | MDPI |
Publisher Date | 2022-04-20 |
Access Restriction | Open |
Subject Keyword | Mathematics Industrial Engineering Calibration Computer Models Fisher Information Sequential D-optimal Surrogate Model |
Content Type | Text |
Resource Type | Article |