Cope with diverse data structures in multi-fidelity modeling : a Gaussian process method

• Main Authors: Liu, Haitao, Ong, Yew-Soon, Cai, Jianfei, Wang, Yi
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2020
• 主題: Engineering::Computer science and engineering; Multi-fidelity Modeling; Gaussian Process Regression
• 在線閱讀: https://hdl.handle.net/10356/139701
• 機構: Nanyang Technological University

Multi-fidelity modeling (MFM) frameworks, especially the Bayesian MFM, have gained popularity in simulation based modeling, uncertainty quantification and optimization, due to the potential for reducing computational budget. In the view of multi-output modeling, the MFM approximates the high-/low-fi...