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Showing results 1 to 6 of 6

1
A nonlinearity integrated bi-fidelity surrogate model based on nonlinear mapping

Li, Kunpeng; Li, Qingye; Lv, Liye; Song, Xueguan; Ma, Yunsheng; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.66, no.9, 2023-09

2
A survey of machine learning techniques in structural and multidisciplinary optimization

Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem; Bayrak, Gamze; Park, Jeong Woo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.9, 2022-09

3
Industrial issues and solutions to statistical model improvement: a case study of an automobile steering column

Son, Hyejeong; Lee, Guesuk; Kang, Kyeonghwan; Kang, Young-Jin; Youn, Byeng D.; Lee, Ikjin; Noh, Yoojeong, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.61, no.4, pp.1739 - 1756, 2020-04

4
Knowledge Integration into deep learning in dynamical systems: an overview and taxonomy

Kim, Sung Wook; Kim, Iljeok; Lee, Jonghwan; Lee, Seungchul, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.35, no.4, pp.1331 - 1342, 2021-04

5
Optimal design of experiments for optimization-based model calibration using Fisher information matrix

Jung, Yongsu; Lee, Ikjin, RELIABILITY ENGINEERING & SYSTEM SAFETY, v.216, pp.107968, 2021-12

6
Selection of optimal target reliability in RBDO through reliability-based design for market systems (RBDMS) and application to electric vehicle design

Lee, Ungki; Kang, Namwoo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.60, no.3, pp.949 - 963, 2019-09

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