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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