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Consistent Matrix: A Feature Selection Framework for Large-Scale Datasets 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 卷号: 31, 期号: 11, 页码: 4024-4038
作者:  Yang, Tian;  Li, Yuan-Jiang;  Qian, Yuhua;  Wang, Fei-Yue
收藏  |  浏览/下载：13/0  |  提交时间：2024/02/22
Consistent matrix  feature selection  fuzzy arithmetic covering  fuzzy rough sets  granular computing  
Fuzzy Approximation-based Task-Space Control of Robot Manipulators With Remote Center of Motion Constraint 期刊论文
IEEE Transactions on Fuzzy Systems, 2022, 卷号: 30, 期号: 6, 页码: 1564-1573
作者:  Hang Su;  Wen Qi;  Jiahao Chen;  Dandan Zhang
收藏  |  浏览/下载：107/0  |  提交时间：2023/02/06
Fuzzy Deep Forest With Deep Contours Feature for Leaf Cultivar Classification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 卷号: 30, 期号: 12, 页码: 5431-5444
作者:  Zheng, Wenbo;  Yan, Lan;  Gou, Chao;  Wang, Fei-Yue
收藏  |  浏览/下载：168/0  |  提交时间：2023/01/09
Contour feature learning  data augmentation  deep forest  fuzzy logic  
Fixed-Time Adaptive Fuzzy Control for Uncertain Nonstrict-Feedback Systems with Time-Varying Constraints and Input Saturations 期刊论文
IEEE Transactions on Fuzzy Systems, 2022, 卷号: 30, 期号: 4, 页码: 1114-1128
作者:  Jinlin Su;  Jianqiang Yi;  Zhiqiang Pu
Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：239/51  |  提交时间：2022/04/02
Adaptive fuzzy control  fixed-time control  input saturation  nonstrict-feedback systems  time-varying constraints  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：259/60  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)  
Adaptive Fuzzy Nonsmooth Backstepping Output-Feedback Control for Hypersonic Vehicles With Finite-Time Convergence 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 10, 页码: 2320-2334
作者:  Sun, Jinlin;  Yi, Jianqiang;  Pu, Zhiqiang;  Liu, Zhen
Adobe PDF(3972Kb)  |  收藏  |  浏览/下载：177/0  |  提交时间：2021/01/07
Backstepping  Adaptive fuzzy control  Fuzzy logic  finite-time control  fixed-time state observer  
Fuzzy Multilayer Clustering and Fuzzy Label Regularization for Unsupervised Person Reidentification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1356-1368
作者:  Zhang, Zhong;  Huang, Meiyan;  Liu, Shuang;  Xiao, Baihua;  Durrani, Tariq S.
收藏  |  浏览/下载：157/0  |  提交时间：2020/08/03
Databases  Multilayer perceptrons  Nonhomogeneous media  Training  Feature extraction  Clustering algorithms  Cameras  Fuzzy multilayer clustering (FMC)  fuzzy label regularization (FLR)  unsupervised person reidentification  
A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1344-1355
作者:  Feng, Shuang;  Chen, C. L. Philip;  Zhang, Chun-Yang
收藏  |  浏览/下载：238/0  |  提交时间：2020/08/03
Data models  Training  Training data  Fuzzy neural networks  Databases  Neural networks  Classification  fuzzy deep model  fuzzy restricted Boltzmann machine (FRBM)  hybrid learning  
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 5, 页码: 2719-2731
作者:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
收藏  |  浏览/下载：224/0  |  提交时间：2019/12/16
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Adaptive Fuzzy Output Feedback Quantized Control for Uncertain Nonlinear Hysteretic Systems Using a New Feedback-Based Quantizer 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 卷号: 27, 期号: 9, 页码: 1738-1752
作者:  Wu, Honghui;  Liu, Zhi;  Zhang, Yun;  Chen, C. L. Philip
收藏  |  浏览/下载：163/0  |  提交时间：2019/12/16
Actuator hysteresis  fuzzy logic systems (FLSs)  input quantization  output feedback  nonlinear systems