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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
重庆绿色智能技术研究... [4]
采集方式
OAI收割 [4]
内容类型
期刊论文 [4]
发表日期
2022 [1]
2021 [3]
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A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:
Fu, Dongyang
;
Huang, Haoen
;
Xiao, Xiuchun
;
Xia, Linghui
;
Jin, Long
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2022/08/22
Sea ice
Arctic
Minimization
Data mining
Remote sensing
Scattering
Robustness
Arctic sea ice extraction
generalized complex-valued constrained energy minimization (GCVCEM) scheme
modified Newton integration (MNI) neural algorithm
noise-tolerance ability
Noise-tolerant gradient-oriented neurodynamic model for solving the Sylvester equation
期刊论文
OAI收割
APPLIED SOFT COMPUTING, 2021, 卷号: 109, 页码: 12
作者:
Liu, Bei
;
Fu, Dongyang
;
Qi, Yimeng
;
Huang, Haoen
;
Jin, Long
  |  
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2021/10/13
Gradient neural network (GNN)
Noise-tolerant gradient-oriented
neurodynamics (NTGON)
Sylvester equation
Dynamic-system approach
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems
期刊论文
OAI收割
INFORMATION SCIENCES, 2021, 卷号: 550, 页码: 239-251
作者:
Wang, Guancheng
;
Huang, Haoen
;
Shi, Limei
;
Wang, Chuhong
;
Fu, Dongyang
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/03/01
Time-varying Lyapunov equation
Newton-Raphson iteration
Noise suppressing
Robotic tracking problems
Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 11
作者:
Fu, Dongyang
;
Huang, Haoen
;
Wei, Lin
;
Xiao, Xiuchun
;
Jin, Long
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/08/22
Mathematical model
Heuristic algorithms
Oceans
Noise measurement
Iterative algorithms
Education
Technological innovation
Dynamic system of linear equations
modified Newton integration (MNI) algorithm
noise tolerance
steady-state error