Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities
出版年份 2021 全文链接
标题
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities
作者
关键词
Machine learning, Artificial neural network, Multi-fidelity regression, Gaussian process regression, Reduced order modeling, Parametrized PDE
出版物
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume 389, Issue -, Pages 114378
出版商
Elsevier BV
发表日期
2021-12-07
DOI
10.1016/j.cma.2021.114378
参考文献
相关参考文献
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