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Pseudo Gradient-Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 14
作者:  Luo, Xin;  Chen, Jiufang;  Yuan, Ye;  Wang, Zidong
收藏  |  浏览/下载:51/0  |  提交时间:2024/02/23
High-dimensional and incomplete (HDI) data  hyperparameter adaptation  latent factor analysis (LFA)  network representation  particle swarm optimization (PSO)  
Neural Solution to Dynamic Overdetermined System With Applications to Data Fitting and Parameters Estimation 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 12
作者:  Liu, Mei;  Liufu, Ying;  Lu, Huiyan;  Shang, Mingsheng
收藏  |  浏览/下载:14/0  |  提交时间:2023/12/25
Artificial neural networks  Mathematical models  Real-time systems  Heuristic algorithms  Convergence  Computational modeling  Time-varying systems  Convergence property  dynamic overdetermined system  integral neural solution (INS)  noise-suppression ability  zeroing neural network (ZNN)  
A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Yuan, Ye;  Luo, Xin;  Shang, Mingsheng;  Wang, Zidong
收藏  |  浏览/下载:64/0  |  提交时间:2022/08/22
Quality of service  Data models  Kalman filters  Estimation  Computational modeling  Web services  Heuristic algorithms  Alternating least squares (ALSs)  computational intelligence  data science  dynamic latent factor analysis (LFA)  dynamics  intelligent computing  Kalman filter  temporal pattern  Web service  
Distributed and Time-Delayed k-Winner-Take-All Network for Competitive Coordination of Multiple Robots 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Jin, Long;  Liang, Siqi;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载:62/0  |  提交时间:2022/08/22
Mathematical models  Delay effects  Task analysis  Robot kinematics  Multi-robot systems  Robustness  Heuristic algorithms  Competitive coordination  distributed control  intelligent network  k-winner-take-all (kWTA)  multirobot system  optimization  time delay  
Growing Echo State Network With an Inverse-Free Weight Update Strategy 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Chen, Xiufang;  Luo, Xin;  Jin, Long;  Li, Shuai;  Liu, Mei
收藏  |  浏览/下载:63/0  |  提交时间:2022/08/22
Reservoirs  Training  Computational modeling  Neurons  Topology  Standards  Numerical models  Echo state network (ESN)  inverse-free algorithm  incremental scheme  Schur complement  Sherman-Morrison formula  
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 12
作者:  Wei, Lin;  Jin, Long;  Luo, Xin
收藏  |  浏览/下载:48/0  |  提交时间:2022/08/22
Optimization  Mathematical models  Analytical models  Convergence  Principal component analysis  Time-varying systems  Nonlinear equations  Constrained nonlinear optimization  dimensionality reduction on principal component analyses (PCA)  equality and inequality constraints  neural dynamics  noise suppression  robot arm control  
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 13
作者:  Xie, Zhengtai;  Jin, Long;  Luo, Xin;  Hu, Bin;  Li, Shuai
收藏  |  浏览/下载:55/0  |  提交时间:2022/08/22
Robots  Manipulators  Service robots  Kinematics  Recurrent neural networks  Planning  Redundancy  Acceleration level  data-driven technology  kinematic control of robots  recurrent neural network (RNN)  repetitive motion planning (RMP)  
A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15
作者:  Wu, Di;  He, Yi;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载:43/0  |  提交时间:2022/08/22
Big data  computational intelligence  latent factor analysis (LFA)  missing data  online algorithm  online feature selection  sparse streaming feature  streaming feature  
Non-Negative Latent Factor Model Based on beta-Divergence for Recommender Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 8, 页码: 4612-4623
作者:  Xin, Luo;  Yuan, Ye;  Zhou, MengChu;  Liu, Zhigang;  Shang, Mingsheng
收藏  |  浏览/下载:130/0  |  提交时间:2021/08/20
beta-divergence  big data  high-dimensional and sparse (HiDS) matrix  industrial application  learning algorithm  non-negative latent factor (NLF) analysis  recommender system  
A Deep Latent Factor Model for High-Dimensional and Sparse Matrices in Recommender Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4285-4296
作者:  Wu, Di;  Luo, Xin;  Shang, Mingsheng;  He, Yi;  Wang, Guoyin;  Zhou, MengChu
收藏  |  浏览/下载:204/0  |  提交时间:2021/08/20
Big data  deep model  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  recommender system (RS)