中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
数学与系统科学研究院 [3]
地理科学与资源研究所 [1]
采集方式
OAI收割 [4]
内容类型
期刊论文 [4]
发表日期
2026 [1]
2021 [3]
学科主题
筛选
浏览/检索结果:
共4条,第1-4条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
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
A physics-driven hybrid transformer model for hydrologic simulation under nonstationary environmental conditions
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2026, 卷号: 669, 页码: 135133
作者:
Zhang, Hongwei
;
Tao, Zexing
;
Wang, Kaiwen
;
Zhao, Gang
;
Chen, Jiewei
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/03/16
Time-varying parameters
Nonstationary hydrologic processes
Physics-driven deep learning
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:57/0
  |  
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
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:49/0
  |  
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
Solving forward and inverse problems of the logarithmic nonlinear Schrodinger equation with PT-symmetric harmonic potential via deep learning
期刊论文
OAI收割
PHYSICS LETTERS A, 2021, 卷号: 387, 页码: 12
作者:
Zhou, Zijian
;
Yan, Zhenya
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/04/26
Logarithmic nonlinear Schrodinger equation
PT-symmetric potentials
Physics-informed neural networks
Deep learning
Data-driven discovery of LNLS equation
Data-driven solitons