机构

• 力学研究所 [5]
• 云南天文台 [1]
• 烟台海岸带研究所 [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [6]
• 会议论文 [1]

发表日期

• 2025 [2]
• 2024 [2]
• 2023 [2]
• 2020 [1]

学科主题

• 天文学 [1]
• 天文学::天体测量学 [1]

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Perturbation Orbit Prediction Method Based on Physics-Informed ResNet 会议论文  OAI收割 Harbin, China, 2025-08-02 作者:  Zhao, Meng;  Shu P(舒鹏);  Yang, Zhen;  Luo, Yazhong   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/01/12 Orbit Prediction  Two  Body Orbital Dynamics  J2 Perturbation  Physics  Informed Neural Networks (PINNs)  Residual Neural Network (ResNet)  Automatic Differentiation   Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 28409-28421 作者:  Qin, Yina   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/24 Sensors  Remote sensing  Monitoring  Sea measurements  Reflectivity  Spatiotemporal phenomena  Spatial resolution  Oceans  Biological system modeling  Water quality  Consistency transformation  geostationary ocean color imager (GOCI)-I and GOCI-II satellite  inversion of chlorophyll-a (Chl-a)  long time series  physics-informed neural network (PINN)   AsPINN: Adaptive symmetry-recomposition physics-informed neural networks 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 432, 页码: 34 作者:  Liu ZT(刘子提);  Liu Y(刘洋);  Yan, Xunshi;  Liu W(刘文);  Guo SQ(郭帅旗)   |  收藏  |  浏览/下载：47/0  |  提交时间：2024/11/01 Network structure  Parameter-sharing  Feature-enhanced physics-informed neural  networks  Symmetry decomposition   Chien-physics-informed neural networks for solving singularly perturbed boundary-layer problems 期刊论文  OAI收割 APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2024, 卷号: 45, 期号: 9, 页码: 1467-1480 作者:  Wang, Long;  Zhang, Lei;  He, Guowei;  He GW(何国威)   |  收藏  |  浏览/下载：39/0  |  提交时间：2024/10/08 physics-informed neural network (PINN)  singular perturbation  boundary-layer problem  composite asymptotic expansion  O302   Rapid evaluation of capillary pressure and relative permeability for oil-water flow in tight sandstone based on a physics-informed neural network 期刊论文  OAI收割 JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2023 作者:  Ji LL(姬莉莉);  Xu, Fengyang;  Lin M(林缅);  Jiang WB(江文滨)   |  收藏  |  浏览/下载：51/0  |  提交时间：2023/09/05 Two-phase flow  Capillary pressure curve  Relative permeability curve  Tight sandstone  Physics-informed neural network   A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network 期刊论文  OAI收割 ACTA MECHANICA SINICA, 2023, 卷号: 39, 期号: 3, 页码: 322302 作者:  Xu SF(许盛峰);  Sun ZX(孙振旭);  Huang RF(黄仁芳);  Guo DL(郭迪龙);  Yang GW(杨国伟)   |  收藏  |  浏览/下载：50/0  |  提交时间：2023/04/20 Physics informed neural network  Flow field reconstruction  Particle image velocimetry  Cosine annealing algorithm  Experimental fluid dynamics   Energy performance prediction of the centrifugal pumps by using a hybrid neural network 期刊论文  OAI收割 Energy, 2020, 卷号: 213, 页码: 119005 作者:  Huang RF(黄仁芳);  Zhang Z(张珍);  Zhang W;  Mou JG;  Zhou PJ   |  收藏  |  浏览/下载：92/0  |  提交时间：2021/01/29 Centrifugal pump  Energy performance  Loss model  Physics-informed neural network