Suchergebnisse - Fuzzy C-regression clustering

T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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 von 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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基于改进模糊C回归聚类的水轮发电机组的模糊辨识 von 罗红俊, 马龙, 张官祥, 魏春阳, 陈绪鹏, 金学铭, 李超顺

“… TK730; 针对水轮发电机组精确建模的难题,提出了一种基于改进模糊C回归聚类的T-S模糊模型辨识方法.考虑到样本输出值与聚类超平面输出之间的误差值指标的重要性,对于模糊C回归聚类算法进行了改进.该算法将误差值的倒数赋给对应的样本隶属度,构建新的权重矩阵用于更新聚类超平面,从而加速聚类朝向最优聚类超平面的收敛;提出一个 …”
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Intuitionistic fuzzy C-regression by using least squares support vector regression von 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 von 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 von 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 von 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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