中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共5条，第1-5条 帮助

已选(0)清除 条数/页：   排序方式：
A sequential design strategy for integrating low-accuracy and high-accuracy computer experiments 期刊论文
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2020, 页码: 8
作者:  Li, Xinmin;  Wang, Xiao;  Xiong, Shifeng
收藏  |  浏览/下载：206/0  |  提交时间：2021/04/26
Gaussian process model  Multi-fidelity  Optimal design  Space-filling design  
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：173/0  |  提交时间：2021/01/14
Bayesian inverse problems  deep neural networks  multi-fidelity surrogate modeling  Markov chain Monte Carlo  
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：199/0  |  提交时间：2019/03/11
Bayesian inverse problems  Multi-fidelity polynomial chaos  Surrogate modeling  Markov chain Monte Carlo  
Flexible Nested Latin Hypercube Designs for Computer Experiments 期刊论文
JOURNAL OF QUALITY TECHNOLOGY, 2017, 卷号: 49, 期号: 4, 页码: 337-353
作者:  Chen, Daijun;  Xiong, Shifeng
收藏  |  浏览/下载：143/0  |  提交时间：2018/07/30
Multi-Fidelity Computer Model  Optimal Design  Sequential Design  Space-Filling Design  
Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion 期刊论文
TECHNOMETRICS, 2017, 卷号: 59, 期号: 1, 页码: 58-68
作者:  He, Xu;  Tuo, Rui;  Wu, C. F. Jeff
收藏  |  浏览/下载：129/0  |  提交时间：2018/07/30
Design of experiment  Expected improvement criterion  Gaussian process model  Kriging  Multi-fidelity experiment