Výsledky vyhledávání - fuzzy C‐regression model clustering algorithm

Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification

Autoři: Alok Kanti Deb Tanmoy Dam

Zdroj: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). :1671-1676

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7737891/
https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2016.html#DamD16

Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification

Autoři: Tanmoy Dam Alok Kanti Deb

Zdroj: 2015 IEEE Symposium Series on Computational Intelligence. :1687-1694

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 3. Good health

Přístupová URL adresa: https://ieeexplore.ieee.org/document/7376813/
https://dblp.uni-trier.de/db/conf/ssci/ssci2015.html#DamD15a

Takagi-Sugeno fuzzy model parameters identification based on fuzzy c-regression model clustering algorithm and particle swarm optimization

Autoři: Faycal BenHmida Moez Soltani Abdelkader Chaari

Zdroj: 2012 16th IEEE Mediterranean Electrotechnical Conference. :1059-1062

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006196610
https://ieeexplore.ieee.org/document/6196610/

A modified fuzzy c-regression model clustering algorithm for T-S fuzzy model identification

Autoři: Moncef Gossa Abdelkader Chaari Fayçal Ben Hmida a další

Zdroj: Eighth International Multi-Conference on Systems, Signals & Devices. :1-6

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://ieeexplore.ieee.org/document/5767365/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005767365
https://ieeexplore.ieee.org/document/5767365/

T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm

Autoři: Xueli An Xiuqiao Xiang Chaoshun Li a další

Zdroj: Engineering Applications of Artificial Intelligence. 22:646-653

Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dl.acm.org/doi/10.1016/j.engappai.2009.02.003
https://doi.org/10.1016/j.engappai.2009.02.003
https://dblp.uni-trier.de/db/journals/eaai/eaai22.html#LiZXLA09
https://www.sciencedirect.com/science/article/pii/S0952197609000517

A novel cluster validity criterion for fuzzy c-regression model clustering algorithm

Autoři: Jui-Chun Hung Chung-Chun Kung

Zdroj: The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.. 2:1368-1373

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2003.html#KungH03

A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization

Autoři: Soltani Moêz Chaari Abdelkader Ben Hmida Fayçal

Zdroj: International Journal of Applied Mathematics and Computer Science, Vol 22, Iss 3, Pp 617-628 (2012)

Témata: takagi–sugeno fuzzy model, noise clustering algorithm, fuzzy c-regression model, orthogonal least squares, particle swarm optimization, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2083-8492

Přístupová URL adresa: https://doaj.org/article/7c207ba15d9840759b9fa4233e8e314f

A type-2 fuzzy c-regression clustering algorithm for Takagi-Sugeno system identification and its application in the steel industry

Autoři: Zarandi, Mohammad Hossein Fazel Gamasaee, R. Türkşen, İsmail Burhan

Témata: Structure identification, IT2F c-regression clustering, Gaussian mixture, Weighted least square, Multiple-regression, Steel industry, Article

URL: https://doi.org/10.1016/j.ins.2011.10.015
https://hdl.handle.net/20.500.11851/6179
Information Sciences
Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı

Enhanced fuzzy system models with improved fuzzy clustering algorithm

Autoři: Türkşen, İsmail Burhan Çelikyılmaz, Aslı

Témata: fuzzy system modeling (FSM), fuzzy functions (FFs), improved fuzzy clustering (IFC), inference mechanisms, Article

URL: https://hdl.handle.net/20.500.11851/6648
https://doi.org/10.1109/TFUZZ.2007.905919
IEEE Transactions On Fuzzy Systems
Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı

Robust T-S Fuzzy Model Identification Approach Based on FCRM Algorithm and L1-Norm Loss Function

Autoři: Nan Zhang Xiaoming Xue Xin Xia a další

Zdroj: IEEE Access, Vol 8, Pp 33792-33805 (2020)

Témata: T-S fuzzy model, fuzzy c-regression model, L1-norm loss function, outliers and noises robustness, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

Popis souboru: electronic resource

Relation: https://ieeexplore.ieee.org/document/8998269/; https://doaj.org/toc/2169-3536

Přístupová URL adresa: https://doaj.org/article/a3ce31c562664296a92129b1f4877927

Boil-Turbine System Identification Based on Robust Interval Type-2 Fuzzy C-Regression Model.

Autoři: Shi, Jianzhong¹ (AUTHOR) sjz-ha@163.com

Zdroj: International Journal of Computational Intelligence & Applications. Dec2022, Vol. 21 Issue 4, p1-18. 18p.

Témata: SYSTEM identification, SOFT sets, FUZZY algorithms

A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model

Autoři: Dinçer, Nevin Güler MÜ

Přispěvatelé: Dinçer, Nevin Güler MÜ

Zdroj: International Journal of Fuzzy Systems. 20:1872-1887

Témata: Fuzzy Clustering, 0202 electrical engineering, electronic engineering, information engineering, Time Series, 02 engineering and technology, Fuzzy C-Regression Model, Fuzzy Time Series, Forecasting

Popis souboru: application/pdf

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/ijfs/ijfs20.html#Dincer18
https://link.springer.com/article/10.1007/s40815-018-0497-0
https://hdl.handle.net/20.500.12809/1408
https://doi.org/10.1007/s40815-018-0497-0

A fuzzy C‐regression model algorithm using a new PSO algorithm.

Autoři: Taieb, Adel Soltani, Moez Chaari, Abdelkader

Zdroj: International Journal of Adaptive Control & Signal Processing. Jan2018, Vol. 32 Issue 1, p115-133. 19p.

Témata: *LEAST squares, *MIMO systems, *REGRESSION analysis, *FUZZY sets, *PARTICLE swarm optimization

Affine Takagi-Sugeno fuzzy model identification based on a novel fuzzy c-regression model clustering and particle swarm optimization

Autoři: Faycal BenHmida Moez Soltani Talel Bessaoudi a další

Zdroj: 2012 16th IEEE Mediterranean Electrotechnical Conference. :1067-1070

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006196612

A composite framework coupling FCRM, LSSVM and improved hybrid IHHOMFO optimization for Takagi–Sugeno fuzzy model identification.

Autoři: Zhang, Nan Xue, Xiaoming Jiang, Wei a další

Zdroj: Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 3, p3575-3598. 24p.

Témata: *DATA structures, *MATHEMATICAL optimization, FUZZY algorithms, SUPPORT vector machines, IMAGE recognition (Computer vision), MEMBERSHIP functions (Fuzzy logic), LEAST squares

Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification.

Autoři: Dam, Tanmoy Deb, Alok Kanti

Zdroj: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE); 2016, p1671-1676, 6p

Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification.

Autoři: Dam, Tanmoy Deb, Alok

Zdroj: 2015 IEEE Symposium Series on Computational Intelligence; 2015, p1687-1694, 8p

A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model.

Autoři: Güler Dincer, Nevin¹ nguler@mu.edu.tr

Zdroj: International Journal of Fuzzy Systems. Aug2018, Vol. 20 Issue 6, p1872-1887. 16p.

Témata: Regression analysis, Fuzzy sets, Time series analysis, Fuzzy clustering technique, Cluster analysis (Statistics), Forecasting

A Fuzzy Identification Method Based on the Likelihood Function and Noise Clustering Algorithm.

Autoři: Tsai, Shun-Hung Chen, Yi-Ting

Zdroj: International Journal of Fuzzy Systems. Feb2023, Vol. 25 Issue 1, p136-144. 9p.

Témata: Noise, Membership functions (Fuzzy logic), Gaussian distribution, Algorithms, Data distribution, Fuzzy algorithms, Lagrange equations

A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization

Autoři: Soltani, M. Chaari, A. Ben Hmida, F.

Zdroj: International Journal of Applied Mathematics and Computer Science.

Témata: model rozmyty Takagi-Sugeno, algorytm grupowania, metoda najmniejszych kwadratów, optymalizacja rojem cząstek, Takagi-Sugeno fuzzy models, noise clustering algorithm, fuzzy c-regression model, orthogonal least squares, particle swarm optimization (PSO)

Přístupová URL adresa: http://yadda.icm.edu.pl/baztech/element/bwmeta1.element.baztech-article-BPZ7-0007-0010