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Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 页码: 12
作者:  Chen, Liangming;  Jin, Long;  Shang, Mingsheng;  Wang, Fei-Yue
收藏  |  浏览/下载:6/0  |  提交时间:2024/07/12
Residual neural networks  Vectors  Noise  Biological neural networks  Medical services  Defect detection  Agriculture  Deep neural networks (DNNs)  industrial applications  ordinary differential equation (ODE)  representation power  
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:22/0  |  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)  
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:138/0  |  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  
An Instance-Frequency-Weighted Regularization Scheme for Non-Negative Latent Factor Analysis on High-Dimensional and Sparse Data 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 6, 页码: 3522-3532
作者:  Luo, Xin;  Wang, Zidong;  Shang, Mingsheng
收藏  |  浏览/下载:90/0  |  提交时间:2021/08/20
High-dimensional and sparse (HiDS) data  industrial application  instance-frequency  non-negative latent factor analysis (NLFA)  recommender system  regularization  
A Fast Non-Negative Latent Factor Model Based on Generalized Momentum Method 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 1, 页码: 610-620
作者:  Luo, Xin;  Liu, Zhigang;  Li, Shuai;  Shang, Mingsheng;  Wang, Zidong
收藏  |  浏览/下载:109/0  |  提交时间:2021/03/17
Big data  high-dimensional and sparse (HiDS) matrix  latent factor (LF) analysis  missing data estimation  non-negative LF (NLF) model  recommender system