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Adaptive nonparametric evolving fuzzy controller for uncertain nonlinear systems with dead zone Journal article
Yang, Zhao Xu, Yang, Zhi Xin, Rong, Hai Jun. Adaptive nonparametric evolving fuzzy controller for uncertain nonlinear systems with dead zone[J]. Evolving Systems, 2022, 13(5), 637-651.
Authors:  Yang, Zhao Xu;  Yang, Zhi Xin;  Rong, Hai Jun
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.7/2.8 | Submit date：2022/05/17
Backstepping  Data Clouds  Evolving Fuzzy System  Lyapunov  Uncertain Nonlinear Systems  
Uncertain Data Clustering in Distributed Peer-to-Peer Networks Journal article
Zhou, Jin, Chen, Long, Chen, C. L. Philip, Wang, Yingxu, Li, Han-Xiong. Uncertain Data Clustering in Distributed Peer-to-Peer Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 29(6), 2392-2406.
Authors:  Zhou, Jin;  Chen, Long;  Chen, C. L. Philip;  Wang, Yingxu;  Li, Han-Xiong
Favorite | TC[WOS]:21 TC[Scopus]:31  IF:10.2/10.4 | Submit date：2018/10/30
Attribute Weight Entropy  Distributed Clustering  Peer-to-peer (P2p) Networks  Uncertain Data  
K-medoids method based on divergence for uncertain data clustering Conference paper
Zhou J., Pan Y., Chen C.L.P., Wang D., Han S.. K-medoids method based on divergence for uncertain data clustering[C], 2017, 2671-2674.
Authors:  Zhou J.;  Pan Y.;  Chen C.L.P.;  Wang D.;  Han S.
Favorite | TC[Scopus]:11 | Submit date：2019/02/11
Js-divergence  K-medoids Method  Kl-divergence  Uncertain Data Clustering  
Spectral Clustering based on JS-divergence for Uncertain Data Conference paper
Wang, Yingxu, Dong, Jiwen, Zhou, Jin, Wang, Lin, Han, Shiyuan, Zhang, Tong, Chen, C. L. Philip, IEEE. Spectral Clustering based on JS-divergence for Uncertain Data[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 1972-1975.
Authors:  Wang, Yingxu;  Dong, Jiwen;  Zhou, Jin;  Wang, Lin;  Han, Shiyuan; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3 | Submit date：2018/10/30
Uncertain Data Clustering  Js-divergence  Spectral Clustering Method  
A three-domain fuzzy support vector regression for image denoising and experimental studies Journal article
Liu Z., Xu S., Chen C.L.P., Zhang Y., Chen X., Wang Y.. A three-domain fuzzy support vector regression for image denoising and experimental studies[J]. IEEE Transactions on Cybernetics, 2014, 44(4), 516-525.
Authors:  Liu Z.;  Xu S.;  Chen C.L.P.;  Zhang Y.;  Chen X.; et al.
Favorite | TC[WOS]:33 TC[Scopus]:40 | Submit date：2019/02/11
Fuzzy Support Vector Regression (Fsvr)  Three-domain Fuzzy Kernel Function (3dfkf)  Three-domain Fuzzy Support Vector Regression (3dfsvr)  Uncertain Data