166 related articles for article (PubMed ID: 30106747)
1. Fuzzy Broad Learning System: A Novel Neuro-Fuzzy Model for Regression and Classification.
Feng S; Chen CLP
IEEE Trans Cybern; 2020 Feb; 50(2):414-424. PubMed ID: 30106747
[TBL] [Abstract][Full Text] [Related]
2. Takagi-Sugeno fuzzy models in the framework of orthonormal basis functions.
Machado JB; Campello RJ; Amaral WC
IEEE Trans Cybern; 2013 Jun; 43(3):858-70. PubMed ID: 23096073
[TBL] [Abstract][Full Text] [Related]
3. A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines.
Sun ZL; Au KF; Choi TM
IEEE Trans Syst Man Cybern B Cybern; 2007 Oct; 37(5):1321-31. PubMed ID: 17926712
[TBL] [Abstract][Full Text] [Related]
4. Recurrent neuro-fuzzy networks for nonlinear process modeling.
Zhang J; Morris AJ
IEEE Trans Neural Netw; 1999; 10(2):313-26. PubMed ID: 18252529
[TBL] [Abstract][Full Text] [Related]
5. Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models.
Abonyi J; Babuska R; Szeifert F
IEEE Trans Syst Man Cybern B Cybern; 2002; 32(5):612-21. PubMed ID: 18244865
[TBL] [Abstract][Full Text] [Related]
6. Online sequential fuzzy extreme learning machine for function approximation and classification problems.
Rong HJ; Huang GB; Sundararajan N; Saratchandran P
IEEE Trans Syst Man Cybern B Cybern; 2009 Aug; 39(4):1067-72. PubMed ID: 19336333
[TBL] [Abstract][Full Text] [Related]
7. Multiview High Dynamic Range Image Synthesis Using Fuzzy Broad Learning System.
Guo H; Sheng B; Li P; Chen CLP
IEEE Trans Cybern; 2021 May; 51(5):2735-2747. PubMed ID: 31484152
[TBL] [Abstract][Full Text] [Related]
8. Recurrent Broad Learning Systems for Time Series Prediction.
Xu M; Han M; Chen CLP; Qiu T
IEEE Trans Cybern; 2020 Apr; 50(4):1405-1417. PubMed ID: 30207976
[TBL] [Abstract][Full Text] [Related]
9. A hybrid learning method for constructing compact rule-based fuzzy models.
Zhao W; Niu Q; Li K; Irwin GW
IEEE Trans Cybern; 2013 Dec; 43(6):1807-21. PubMed ID: 23757574
[TBL] [Abstract][Full Text] [Related]
10. A Novel Approach to Implement Takagi-Sugeno Fuzzy Models.
Chang CW; Tao CW
IEEE Trans Cybern; 2017 Sep; 47(9):2353-2361. PubMed ID: 28534805
[TBL] [Abstract][Full Text] [Related]
11. Nonlinear dynamic systems identification using recurrent interval type-2 TSK fuzzy neural network - A novel structure.
El-Nagar AM
ISA Trans; 2018 Jan; 72():205-217. PubMed ID: 29096993
[TBL] [Abstract][Full Text] [Related]
12. Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System.
Tang J; Zou Y; Ash J; Zhang S; Liu F; Wang Y
PLoS One; 2016; 11(2):e0147263. PubMed ID: 26829639
[TBL] [Abstract][Full Text] [Related]
13. Robust covariance control for discrete system by Takagi-Sugeno fuzzy controllers.
Chang WJ; Shing CC
ISA Trans; 2004 Jul; 43(3):377-87. PubMed ID: 15272793
[TBL] [Abstract][Full Text] [Related]
14. Designing boosting ensemble of relational fuzzy systems.
Scherer R
Int J Neural Syst; 2010 Oct; 20(5):381-8. PubMed ID: 20945517
[TBL] [Abstract][Full Text] [Related]
15. HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems.
Kim J; Kasabov N
Neural Netw; 1999 Nov; 12(9):1301-1319. PubMed ID: 12662634
[TBL] [Abstract][Full Text] [Related]
16. Type-2 Fuzzy Broad Learning System.
Han H; Liu Z; Liu H; Qiao J; Chen CLP
IEEE Trans Cybern; 2022 Oct; 52(10):10352-10363. PubMed ID: 33886485
[TBL] [Abstract][Full Text] [Related]
17. Accurate and Efficient Large-Scale Multi-Label Learning With Reduced Feature Broad Learning System Using Label Correlation.
Huang J; Vong CM; Chen CLP; Zhou Y
IEEE Trans Neural Netw Learn Syst; 2023 Dec; 34(12):10240-10253. PubMed ID: 35436203
[TBL] [Abstract][Full Text] [Related]
18. Design of double fuzzy clustering-driven context neural networks.
Kim EH; Oh SK; Pedrycz W
Neural Netw; 2018 Aug; 104():1-14. PubMed ID: 29689457
[TBL] [Abstract][Full Text] [Related]
19. A neural fuzzy system with fuzzy supervised learning.
Lin CT; Lu YC
IEEE Trans Syst Man Cybern B Cybern; 1996; 26(5):744-63. PubMed ID: 18263073
[TBL] [Abstract][Full Text] [Related]
20. A new method for design and reduction of neuro-fuzzy classification systems.
Cpałka K
IEEE Trans Neural Netw; 2009 Apr; 20(4):701-14. PubMed ID: 19273042
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]