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A Noise-Tolerant k-WTA Model With Its Application on Multirobot System 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 页码: 11
作者:  Jin, Long;  Chen, Yingqi;  Liu, Mei
收藏  |  浏览/下载：12/0  |  提交时间：2023/12/25
Mathematical models  Numerical models  Biological neural networks  Analytical models  Computational modeling  Stability analysis  Personal digital devices  k-winners-take-all (k-WTA) operation  multirobot system  noise tolerance  steady-state error  
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)  
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2023, 卷号: 16, 期号: 4, 页码: 3027-3042
作者:  Bi, Fanghui;  He, Tiantian;  Xie, Yuetong;  Luo, Xin
收藏  |  浏览/下载：10/0  |  提交时间：2023/12/25
Cloud service  data science  graph neural network  high-dimensional and incomplete data  latent factor analysis  latent feature model  missing data estimation  non-euclidean data  representation learning  quality-of-service  
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2023, 卷号: 9, 期号: 3, 页码: 889-903
作者:  Chen, Minzhi;  He, Chunlin;  Luo, Xin
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Analytical models  Big Data  Heuristic algorithms  Dynamic weighted directed network  high-dimensional and incomplete tensor  non-negative latent-factorization-of-tensors  linear bias  high dimensional and incomplete  momentum method  particle swarm optimization  adaptive model  
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 6, 页码: 6148-6166
作者:  Luo, Xin;  Wu, Hao;  Li, Zechao
收藏  |  浏览/下载：13/0  |  提交时间：2023/12/25
Tensors  Data models  Computational modeling  Adaptation models  Training  Artificial neural networks  Neurons  Nonlinear tensor model  Big Data  high-dimensional and incomplete tensor  latent factorization of tensors  hyper-parameter adaptation