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A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 12, 页码: 9756-9773
作者:  Luo, Xin;  Wu, Hao;  Wang, Zhi;  Wang, Jianjun;  Meng, Deyu
收藏  |  浏览/下载:71/0  |  提交时间:2022/12/26
Tensors  Computational modeling  Numerical models  Data models  Convergence  Analytical models  Adaptation models  Dynamically weighted directed network  terminal interaction pattern analysis system  latent factorization of tensors  high dimensional and incomplete tensor  link prediction  representation learning  latent feature  
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices 期刊论文
IEEE TRANSACTIONS ON BIG DATA, 2022, 卷号: 8, 期号: 6, 页码: 1524-1536
作者:  Chen, Jia;  Luo, Xin;  Zhou, Mengchu
收藏  |  浏览/下载:64/0  |  提交时间:2022/12/26
Adaptation models  Optimization  Convergence  Computational modeling  Sparse matrices  Particle swarm optimization  Big Data  Big data  latent factor analysis  particle swarm optimization  high-dimensional and sparse matrix  large-scale incomplete data  missing data estimation  industrial application  
Generalized Nesterov's Acceleration-Incorporated, Non-Negative and Adaptive Latent Factor Analysis 期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2022, 卷号: 15, 期号: 5, 页码: 2809-2823
作者:  Luo, Xin;  Zhou, Yue;  Liu, Zhigang;  Hu, Lun;  Zhou, MengChu
收藏  |  浏览/下载:79/0  |  提交时间:2022/12/26
Computational modeling  Acceleration  Sparse matrices  Adaptation models  Training  Data models  Convergence  Services computing  service application  big data  latent factor analysis  non-negative latent factor model  high-dimensional and sparse matrix  recommender system  missing data  
An improved DV-Hop algorithm for wireless sensor networks based on neural dynamics 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 172-185
作者:  Liu, Jingping;  Liu, Mei;  Du, Xiujuan;  Stanimirovi, Predrag S.;  Jin, Long
收藏  |  浏览/下载:64/0  |  提交时间:2022/08/22
Localization  DV-Hop  Neural dynamics  Convergence analyses  Anti-noise analyses  
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations 期刊论文
INFORMATION SCIENCES, 2022, 卷号: 588, 页码: 106-123
作者:  Wang, Guancheng;  Hao, Zhihao;  Zhang, Bob;  Jin, Long
收藏  |  浏览/下载:55/0  |  提交时间:2022/08/22
Recurrent neural network  dynamic Lyapunov equations  Bounded activation functions  Finite-time convergence  Robustness  
Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2022, 卷号: 10, 期号: 2, 页码: 973-984
作者:  Ying Liufu;  Jin, Long;  Xu, Jinqiang;  Xiao, Xiuchun;  Fu, Dongyang
收藏  |  浏览/下载:120/0  |  提交时间:2022/08/22
Optimization  Computational modeling  Mathematical model  Numerical models  Convergence  Neural networks  Robustness  Reformative noise-immune neural network (RNINN)  equality-constrained optimization  noise-resistance  robustness  
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:  Shi, Yang;  Jin, Long;  Li, Shuai;  Li, Jian;  Qiang, Jipeng;  Gerontitis, Dimitrios K.
收藏  |  浏览/下载:71/0  |  提交时间:2022/08/22
Mathematical model  Linear matrix inequalities  Numerical models  Computational modeling  Recurrent neural networks  Analytical models  Manipulators  Convergence  discrete-form time-variant multi-augmented Sylvester matrix problems  discrete-time recurrent neural networks (RNNs)  discretization formula  robot manipulator application  
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