CSpace
(本次检索基于用户作品认领结果)

浏览/检索结果: 共6条,第1-6条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Data-Driven Remote Center of Cyclic Motion Control for Redundant Robots With Rod-Shaped End-Effector 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 9
作者:  Liu, Mei;  Liu, Kun;  Zhu, Puchen;  Zhang, Guoqian;  Ma, Xin;  Shang, Mingsheng
收藏  |  浏览/下载:5/0  |  提交时间:2024/04/07
Robots  End effectors  Robot kinematics  Kinematics  Recurrent neural networks  Jacobian matrices  Task analysis  Data driven  end-effector  recurrent neural network (RNN)  redundant robot  remote center of motion (RCM)  
Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024, 页码: 10
作者:  Tan, Jiawang;  Shang, Mingsheng;  Jin, Long
收藏  |  浏览/下载:71/0  |  提交时间:2024/05/06
Manipulators  Optimization  Collision avoidance  Jacobian matrices  Kinematics  Task analysis  Linear programming  Manipulability optimization  metaheuristic optimization  nonconvex  obstacle avoidance  recurrent neural network  
Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 9, 页码: 5936-5948
作者:  Liu, Mei;  Zhang, Xiaoyan;  Shang, Mingsheng
收藏  |  浏览/下载:66/0  |  提交时间:2022/08/22
Optimization  Mathematical models  Computational modeling  Neural networks  Numerical models  Informatics  Vehicle dynamics  Equality and inequality constraints  noise-suppressing discrete-time neural dynamics (NSDTND) model  time-variant nonlinear optimization  
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:  Luo, Xin;  Zhou, MengChu;  Li, Shuai;  Shang, MingSheng
收藏  |  浏览/下载:507/0  |  提交时间:2018/07/02
Big data  high-dimensional and sparse matrix  learning algorithms  missing-data estimation  nonnegative latent factor analysis  optimization methods recommender system  
A Highly Accurate Framework for Self-Labeled Semisupervised Classification in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 3, 页码: 909-920
作者:  Wu, Di;  Luo, Xin;  Wang, Guoyin;  Shang, Mingsheng;  Yuan, Ye;  Yan, Huyong
收藏  |  浏览/下载:212/0  |  提交时间:2018/06/04
Differential evolution (DE)  general framework  industrial application  positioning optimization  self-labeled  semi-supervised classification (SSC)  
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(803Kb)  |  收藏  |  浏览/下载:426/0  |  提交时间:2018/03/05
Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network