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

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

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...

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書目詳細資料
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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