中国科学院机构知识库网格系统: 检索

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	AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS* 期刊论文 OAI收割 JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864 作者: Yan, Liang; Zhou, Tao \| 收藏 \|
	An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems 期刊论文 OAI收割 COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205 作者: Yan, Liang; Zhou, Tao \| 收藏 \|
	Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文 OAI收割 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032 作者: Yin, Lin; Wang, Kun; Tong, Tong; An, Yu; Meng, Hui \| 收藏 \|
	Development of the Inversion Method for Transient Electromagnetic Data 期刊论文 OAI收割 IEEE ACCESS, 2020, 卷号: 8, 页码: 146172-146181 作者: Xue, Guoqiang; Li, Hai; He, Yiming; Xue, Junjie; Wu, Xin \| 收藏 \|
	Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems 期刊论文 OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2019, 卷号: 381, 页码: 110-128 作者: Yan, Liang; Zhou, Tao \| 收藏 \|
	AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS 期刊论文 OAI收割 INTERNATIONAL JOURNAL FOR UNCERTAINTY QUANTIFICATION, 2019, 卷号: 9, 期号: 3, 页码: 205-220 作者: Yan, Liang; Zhou, Tao \| 收藏 \|
	A comparison of deterministic and Bayesian inverse with application in micromechanics 期刊论文 OAI收割 APPLICATIONS OF MATHEMATICS, 2018, 卷号: 63, 期号: 6, 页码: 665-686 作者: Blaheta, Radim; Beres, Michal; Domesova, Simona; Pan, Pengzhi \| 收藏 \|