Search Results - Fuzzy C-regression clustering

T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm by Li, Chaoshun, Zhou, Jianzhong, Xiang, Xiuqiao, Li, Qingqing, An, Xueli

“…This paper proposes a novel approach for identification of Takagi–Sugeno (T–S) fuzzy model, which is based on a new fuzzy c-regression model (FCRM…”
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A type-2 fuzzy c-regression clustering algorithm for Takagi–Sugeno system identification and its application in the steel industry by Fazel Zarandi, M.H., Gamasaee, R., Turksen, I.B.

“…This paper proposes a new type-2 fuzzy c-regression clustering algorithm for the structure identification phase of Takagi–Sugeno (T–S) systems…”
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Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification by Blazic, Saso, Skrjanc, Igor

“…In this paper, a new approach to evolving fuzzy model identification from streaming data is given…”
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Hybrid System Identification by Incremental Fuzzy C-regression Clustering by Blazic, Saso, Skrjanc, Igor

“…In this paper, an approach to the identification of hybrid systems is discussed. It is based on the incremental fuzzy C-regression clustering…”
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Fuzzy Ordered c-Means Clustering and Least Angle Regression for Fuzzy Rule-Based Classifier: Study for Imbalanced Data by Leski, Jacek M., Czabanski, Robert, Jezewski, Michal, Jezewski, Janusz

“…This article introduces a new classifier design method that is based on a modification of the traditional fuzzy clustering…”
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A fuzzy C‐regression model algorithm using a new PSO algorithm by Taieb, Adel, Soltani, Moez, Chaari, Abdelkader

“…‐output local linear Takagi‐Sugeno fuzzy models using the weighted recursive least squares (WRLS…”
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Interacting T-S fuzzy particle filter algorithm for transfer probability matrix of adaptive online estimation model by Wang, Xiao-li, Xie, Wei-xin, Li, Liang-qun

“…•The proposed algorithm can be regarded as a switching dynamical model.•A fuzzy C-regression clustering method based on maximum correntropy principle and spatial-temporal information is proposed…”
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Fuzzy C-Regression Clustering Algorithm Based 7-Dof Redundant Manipulators Inverse Dynamics Control by Zhao, Jiayu, Zhao, Tao, Yang, Hainan, Pan, Jianhui

“… To address this challenge, we propose a data-driven approach using the interval type-2 (IT2) fuzzy c-regression clustering…”
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Dynamic Type-2 Fuzzy Dependent Dirichlet Regression Mixture clustering model by Gamasaee, R., Zarandi, M.H. Fazel

“…) technique and Interval Type-2 Fuzzy C-regression Clustering Model (IT2FCRM). DDPM method demonstrates that the probability of assigning data to a cluster including…”
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A novel recursive T-S fuzzy semantic modeling approach for discrete state-space systems by Li, Liang-Qun, Wang, Xiao-Li, Xie, Wei-Xin, Liu, Zong-Xiang

“…•Fuzzy correntropy is constructed.•A novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed…”
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Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy by Park, Sang-Beom, Oh, Sung-Kwun, Kim, Eun-Hu, Pedrycz, Witold

“… The LFPFC constitutes a new clustering technique inspired by the fuzzy c-regression model (FCRM…”
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Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification by Dam, Tanmoy, Deb, Alok Kanti

“…This paper introduces an interval type-2 modified fuzzy c-regression model (IT2MFCRM) clustering algorithm for identifying the structure in TS Fuzzy Model…”
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Fuzzy weighted c-harmonic regressions clustering algorithm by Zhao, Yang, Wang, Pei-hong, Li, Yi-guo, Li, Meng-yang

“…As a well-known regression clustering algorithm, fuzzy c -regressions (FCR) has been widely studied and applied in various areas…”
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Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification by Dam, Tanmoy, Deb, Alok

“… This noise clustering concept has been taken into the proposed objective function to obtain the fuzzy partition matrix of product space data…”
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Hinging hyperplane based regression tree identified by fuzzy clustering and its application by Kenesei, Tamás, Abonyi, János

“… A novel tool for regression tree identification is proposed based on the synergistic combination of fuzzy c-regression clustering and the concept of hierarchical modeling. In a special case (c=2…”
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Intuitionistic fuzzy C-regression by using least squares support vector regression by Lin, Kuo-Ping, Chang, Hao-Feng, Chen, Tung-Lian, Lu, Yu-Ming, Wang, Ching-Hsin

“…•The novel clustering algorithm improves conventional fuzzy c-regression model.•Empirical results indicate that the proposed clustering algorithm has superior performance…”
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The estimation of the state of charge for lithium-ion battery by fuzzy c-regression model (FCRM) clustering algorithm by Chung-Chun Kung, Shuo-Chieh Chang

“…In this paper, the estimation of the state of charge (SOC) of lithium-ion battery by fuzzy c-regression model (FCRM…”
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A modified fuzzy c-regression model clustering algorithm for T-S fuzzy model identification by Soltani, M, Aissaoui, B, Chaari, A, Ben Hmida, Faycal, Gossa, M

“…In this paper, a modified fuzzy c-regression model (FCRM) clustering algorithm for identification of Takagi-Sugeno…”
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A study of cluster validity criteria for the fuzzy c-regression models clustering algorithm by Chung-Chun Kung, Jui-Yiao Su

“…The fuzzy c-regression models (FCRM) clustering algorithm can fit data to locally regression models which are linear in their parameters and be used as a tool to the identification of complex nonlinear systems…”
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Takagi-Sugeno fuzzy model parameters identification based on fuzzy c-regression model clustering algorithm and particle swarm optimization by Soltani, Moez, Chaari, Abdelkader, Ben Hmida, Faycal

“… This new approach combines the advantages of fuzzy c-regression model clustering algorithm and particle swarm optimization…”
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