中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共6条，第1-6条 帮助

已选(0)清除 条数/页：   排序方式：
Improving Simulation Efficiency of MCMC for Inverse Modeling of Hydrologic Systems With a Kalman-Inspired Proposal Distribution 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (3)
作者:  Zhang, Jiangjiang;  Vrugt, Jasper A.;  Shi, Xiaoqing;  Lin, Guang;  Wu, Laosheng;  Zeng, Lingzao
收藏  |  浏览/下载：20/0  |  提交时间：2020/07/02
Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non-Gaussian Hydraulic Conductivities 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (2)
作者:  Mo, Shaoxing;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：19/0  |  提交时间：2020/07/02
Deep Autoregressive Neural Networks for High-Dimensional Inverse Problems in Groundwater Contaminant Source Identification 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (5) : 3856-3881
作者:  Mo, Shaoxing;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：19/0  |  提交时间：2019/11/26
Deep Convolutional Encoder-Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 703-728
作者:  Mo, Shaoxing;  Zhu, Yinhao;  Zabaras, Nicholas;  Shi, Xiaoqing;  Wu, Jichun
收藏  |  浏览/下载：26/0  |  提交时间：2019/04/09
multiphase flow  geological carbon storage  uncertainty quantification  deep neural networks  high dimensionality  response discontinuity  
A Taylor Expansion-Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling 期刊论文
WATER RESOURCES RESEARCH, 2017, 53 (12)
作者:  Mo, Shaoxing;  Lu, Dan;  Shi, Xiaoqing;  Zhang, Guannan;  Ye, Ming;  Wu, Jianfeng;  Wu, Jichun
收藏  |  浏览/下载：16/0  |  提交时间：2019/04/09
基于四维时移电阻率成像监测和数据同化的重非水相污染物源区识别研究 项目
项目编号：41672229； 经费：660000(CNY)； 起止日期：2017 / dc_date_end
项目负责人:  施小清
收藏  |  浏览/下载：15/0  |  提交时间：2019/04/11