Výsledky vyhledávání - Fuzzy C-regression clustering

Fuzzy C-Regression Clustering Algorithm Based 7-Dof Redundant Manipulators Inverse Dynamics Control

Autoři: Jiayu Zhao Tao Zhao Hainan Yang a další

Zdroj: 2025 37th Chinese Control and Decision Conference (CCDC). :319-324

A novel T-S fuzzy particle filtering algorithm based on fuzzy C-regression clustering

Autoři: Liang-qun Li Wang Xiaoli Weixin Xie

Zdroj: International Journal of Approximate Reasoning. 117:81-95

Témata: Classification and discrimination, cluster analysis (statistical aspects), 0202 electrical engineering, electronic engineering, information engineering, particle filtering, Multivariate analysis and fuzziness, fuzzy C-regression clustering, 02 engineering and technology, T-S fuzzy model, Inference from stochastic processes and prediction

Popis souboru: application/xml

Přístupová URL adresa: https://zbmath.org/7174790
https://doi.org/10.1016/j.ijar.2019.11.005

Identification of Hybrid Systems by Fuzzy C-Regression Clustering

Autoři: Sašo Blažič Igor Škrjanc

Zdroj: Communications in Computer and Information Science ISBN: 9783031684371

Hybrid System Identification by Incremental Fuzzy C-regression Clustering

Autoři: Igor Škrjanc Saso Blazic

Zdroj: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). :1-7

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2020.html#BlazicS20

Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification

Autoři: Saso Blazic Igor Skrjanc

Zdroj: IEEE Transactions on Fuzzy Systems. 28:758-767

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

Přístupová URL adresa: https://dblp.uni-trier.de/db/journals/tfs/tfs28.html#BlazicS20
https://ieeexplore.ieee.org/document/8712443

Design of Conditional Fuzzy C-Regression Model Clustering-based RBFNN Model Realized with the Aid of Auxiliary Information

Autoři: Sang-Beom Park Sung-Kwun Oh

Zdroj: Journal of Korean Institute of Intelligent Systems. 30:167-172

Přístupová URL adresa: https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002584099

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

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

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

Zdroj: Information Sciences. 187:179-203

Témata: Structure identification, Steel industry, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, Multiple-regression, 02 engineering and technology, Gaussian mixture, Weighted least square, IT2F c-regression clustering

Přístupová URL adresa: https://hdl.handle.net/20.500.11851/6179
https://doi.org/10.1016/j.ins.2011.10.015 10.1016/j.ins.2011.10.015
http://www.sciencedirect.com/science/article/pii/S0020025511005585
https://www.sciencedirect.com/science/article/pii/S0020025511005585
https://dblp.uni-trier.de/db/journals/isci/isci187.html#ZarandiGT12
https://dl.acm.org/doi/10.1016/j.ins.2011.10.015
https://hdl.handle.net/20.500.11851/6179
https://doi.org/10.1016/j.ins.2011.10.015

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

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 Forecasting Study for Investment Spendings with Fuzzy C-Regression Means by Modelling Improved Fuzzy Clustering

Autoři: Özçift, Başak ALADAĞ, ZERRİN

Přístupová URL adresa: https://avesis.kocaeli.edu.tr/publication/details/1b315dc9-8759-460e-9a22-94d42ee93dd0/oai

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

T-S fuzzy affine linear modeling algorithm by possibilistic c-regression models clustering algorithm

Autoři: Chung-Chun Kung Hong-Chi Ku

Zdroj: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). :1242-1247

Témata: 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2014.html#KungK14
https://ieeexplore.ieee.org/document/6891768/

Evolving fuzzy-madel-based on c-regression clustering

Autoři: Dejan Dovzan Igor Škrjanc Fernando Gomide

Zdroj: 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). :1-7

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 16. Peace & justice

Přístupová URL adresa: https://dblp.uni-trier.de/db/conf/eais/eais2014.html#SkrjancDG14
https://ieeexplore.ieee.org/document/6867481/
http://ieeexplore.ieee.org/document/6867481/
https://doi.org/10.1109/EAIS.2014.6867481

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/

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/

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

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

Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy

Autoři: Sang-Beom Park Sung-Kwun Oh Eun-Hu Kim a další

Zdroj: Expert Systems with Applications. 219:119655

Témata: Layer Reconstruction-Based Network Design, Distance-Based Lfpfc, Strategy, 0202 electrical engineering, electronic engineering, information engineering, Estimated Output-Based Lfpfc, Fuzzy C-Regression Model (Fcrm) Clustering, Linear Function Prototype-Driven Fuzzy Clustering (Lfpfc), 02 engineering and technology

Přístupová URL adresa: https://hdl.handle.net/20.500.12713/5033

The estimation of the state of charge for lithium-ion battery by fuzzy c-regression model (FCRM) clustering algorithm

Autoři: Chung-Chun Kung Shuo-Chieh Chang

Zdroj: 2011 IEEE International Conference on Systems, Man, and Cybernetics. :1568-1573

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Přístupová URL adresa: http://dblp.uni-trier.de/db/conf/smc/smc2011.html#KungC11
https://dblp.uni-trier.de/db/conf/smc/smc2011.html#KungC11
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006083894
https://ieeexplore.ieee.org/document/6083894/