Výsledky vyhledávání - fuzzy C‐regression model clustering algorithm*

T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm Autor 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 fuzzy C‐regression model algorithm using a new PSO algorithm Autor Taieb, Adel, Soltani, Moez, Chaari, Abdelkader

“…‐output local linear Takagi‐Sugeno fuzzy models using the weighted recursive least squares (WRLS…”
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A type-2 fuzzy c-regression clustering algorithm for Takagi–Sugeno system identification and its application in the steel industry Autor Fazel Zarandi, M.H., Gamasaee, R., Turksen, I.B.

“… The Gaussian Mixture model is used to create the partition matrix of the fuzzy c-regression clustering algorithm…”
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Interval type-2 modified fuzzy c-regression model clustering algorithm in TS Fuzzy Model identification Autor 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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Block Sparse Representations in Modified Fuzzy C-Regression Model Clustering Algorithm for TS Fuzzy Model Identification Autor Dam, Tanmoy, Deb, Alok

“…A novel objective function based clustering algorithm has been introduced by considering linear functional relation between input-output data and geometrical shape of input data…”
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Hydraulic turbine governing system identification using T–S fuzzy model optimized by chaotic gravitational search algorithm Autor Li, Chaoshun, Zhou, Jianzhong, Xiao, Jian, Xiao, Han

“…) is proposed and applied in the modeling of HTGS. In the proposed method, fuzzy c-regression model clustering algorithm is used to partition the input space and identify the coarse antecedent membership function (MF…”
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Hysteresis Modeling of Piezoelectric Actuators Based on a T-S Fuzzy Model Autor Yang, Liu, Wang, Qingtao, Xiao, Yongqiang, Li, Zhan

“… Firstly, an improved fuzzy c regression clustering algorithm is proposed to identify the antecedent parameters of T-S fuzzy model…”
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The estimation of the state of charge for lithium-ion battery by fuzzy c-regression model (FCRM) clustering algorithm Autor 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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An Approach Towards the Design of Interval Type-3 T-S Fuzzy System Autor Singh, Dhanjeet, Verma, Nishchal, Ghosh, Ajoy, Malagaudanavar, Appasaheb

“…This article providesa systematic approach for the design of an interval type-3 (IT3) Takagi-Sugeno (T-S) fuzzy logic system…”
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Takagi-Sugeno fuzzy model parameters identification based on fuzzy c-regression model clustering algorithm and particle swarm optimization Autor 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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Adaptive Inverse Controller Design Based on the Fuzzy C-Regression Model (FCRM) and Back Propagation (BP) Algorithm Autor Jian Zhong, Shi

“… Since the consequent parameters of T-S fuzzy models are linear expressions, this paper firstly uses a fuzzy c-regression model (FCRM…”
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Characterization and prediction of the backscattered form function of an immersed cylindrical shell using hybrid fuzzy clustering and bio-inspired algorithms Autor Agounad, Said, Aassif, El Houcein, Khandouch, Younes, Maze, Gérard, Décultot, Dominique

“…•Improving fuzzy clustering models using bio-inspired algorithms.•Comparing the performance of hybrid fuzzy clustering and bio-inspired algorithms…”
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A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model Autor Güler Dincer, Nevin

“…This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF…”
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A modified fuzzy c-regression model clustering algorithm for T-S fuzzy model identification Autor 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 novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization Autor Soltani, Moêz, Chaari, Abdelkader, Ben Hmida, Fayçal

“…This paper presents a new algorithm for fuzzy c-regression model clustering. The proposed methodology is based on adding a second regularization term in the objective function of a Fuzzy C-Regression Model (FCRM…”
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A Fuzzy Identification Method Based on the Likelihood Function and Noise Clustering Algorithm Autor Tsai, Shun-Hung, Chen, Yi-Ting

“…In this paper, based on the modified fuzzy c-regression model and noise clustering algorithm, a fuzzy identification method is proposed…”
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Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers Autor Soltani, Moez, Telmoudi, Achraf Jabeur, Chaouech, Lotfi, Ali, Maaruf, Chaari, Abdelkader

“…This paper presents the development of a novel interval-valued type-2 robust fuzzy c-regression model (IVT2RFCRM…”
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A study of cluster validity criteria for the fuzzy c-regression models clustering algorithm Autor 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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Intuitionistic fuzzy C-regression by using least squares support vector regression Autor 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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A clustering algorithm based TS fuzzy model for tracking dynamical system data Autor Dam, Tanmoy, Deb, Alok Kanti

“…This paper presents an optimal fuzzy partition based Takagi Sugeno Fuzzy Model (TSFM) in which a novel clustering algorithm, known as Modified Fuzzy C-Regression Model…”
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