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| An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者: Yan, Liang; Zhou, Tao
  收藏 | 浏览/下载：59/0 | 提交时间：2021/01/14
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| Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128
作者: Yan, Liang; Zhou, Tao
收藏 | 浏览/下载：104/0 | 提交时间：2019/03/11
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| A Radial Basis Function-based Multi-fidelity Surrogate Model Referring To Canonical Correlation Analysis 会议论文
The ASME 2019 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2019)
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收藏 | 浏览/下载：2/0 | 提交时间：2019/12/02 |
| A radial basis function-based multi-fidelity surrogate model: exploring correlation between high-fidelity and low-fidelity models 期刊论文
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2019, 卷号: 60, 页码: 965-981
作者: Song, Xueguan; Lv, Liye; Sun, Wei; Zhang, Jie
收藏 | 浏览/下载：7/0 | 提交时间：2019/12/02
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| An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization 期刊论文
Knowledge-Based Systems, 2019
作者: Jin Yi; Liang Gao; Xinyu Li; Christine A. Shoemaker; Chao Lu
收藏 | 浏览/下载：9/0 | 提交时间：2019/12/13
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| An on-line variable-fidelity surrogate-assisted harmony search algorithm with multi-level screening strategy for expensive engineering design optimization 期刊论文
Knowledge-Based Systems, 2019, 卷号: Vol.170, 页码: 1-19
作者: Jin Yi; Liang Gao; Xinyu Li; Christine A. Shoemaker; Chao Lu
收藏 | 浏览/下载：3/0 | 提交时间：2019/12/17
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