机构

• 数学与系统科学研究院 [4]
• 地理科学与资源研究所 [2]
• 云南天文台 [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [7]

发表日期

• 2024 [1]
• 2021 [4]
• 2019 [2]

学科主题

• 天文学 [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： 请选择提交时间升序提交时间降序题名升序题名降序作者升序作者降序发表日期升序发表日期降序 On the Scarcity of Dense Cores (n > 105 cm-3) in High-latitude Planck Galactic Cold Clumps 期刊论文  OAI收割 ASTROPHYSICAL JOURNAL LETTERS, 2024, 卷号: 963, 期号: 1 作者:  Xu, Fengwei;  Wang, Ke;  Liu, Tie;  Eden, David;  Liu, Xunchuan   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/04/01 Data-driven peakon and periodic peakon solutions and parameter discovery of some nonlinear dispersive equations via deep learning 期刊论文  OAI收割 PHYSICA D-NONLINEAR PHENOMENA, 2021, 卷号: 428, 页码: 15 作者:  Wang, Li;  Yan, Zhenya   |  收藏  |  浏览/下载：19/0  |  提交时间：2022/04/02 Nonlinear dispersive equation  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven peakon and periodic peakon  solutions Data-driven parameter discovery   Deep learning neural networks for the third-order nonlinear Schrodinger equation: bright solitons, breathers, and rogue waves 期刊论文  OAI收割 COMMUNICATIONS IN THEORETICAL PHYSICS, 2021, 卷号: 73, 期号: 10, 页码: 9 作者:  Zhou, Zijian;  Yan, Zhenya   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/04/02 third-order nonlinear Schrodinger equation  deep learning  data-driven solitons  data-driven parameter discovery   Deep learning neural networks for the third-order nonlinear Schr?dinger equation: bright solitons, breathers, and rogue waves 期刊论文  OAI收割 Communications in Theoretical Physics, 2021, 卷号: 73, 期号: 10 作者:  Zhou,Zijian;  Yan,Zhenya   |  收藏  |  浏览/下载：17/0  |  提交时间：2022/04/02 third-order nonlinear Schr?dinger equation  deep learning  data-driven solitons  data-driven parameter discovery   Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning 期刊论文  OAI收割 PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7 作者:  Wang, Li;  Yan, Zhenya   |  收藏  |  浏览/下载：14/0  |  提交时间：2021/10/26 Defocusing NLS equation with the  time-dependent potential  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven rogue waves and parameter discovery   From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 16 作者:  Hou, Zhi-Wei;  Qin, Cheng-Zhi;  Zhu, A-Xing;  Liang, Peng;  Wang, Yi-Jie   |  收藏  |  浏览/下载：73/0  |  提交时间：2020/05/19 geographic modeling  input data preparation  intelligent geoprocessing  service composition   From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 16 作者:  Hou, Zhi-Wei;  Qin, Cheng-Zhi;  Zhu, A-Xing;  Liang, Peng;  Wang, Yi-Jie   |  收藏  |  浏览/下载：8/0  |  提交时间：2020/05/19 geographic modeling  input data preparation  intelligent geoprocessing  service composition