Výsledky vyhledávání - fuzzy C‐regression model clustering algorithm~
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T–S fuzzy model identification based on a novel fuzzy c-regression model clustering algorithm
ISSN: 0952-1976, 1873-6769Vydáno: Elsevier Ltd 01.06.2009Vydáno v Engineering applications of artificial intelligence (01.06.2009)“…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
ISSN: 0890-6327, 1099-1115Vydáno: Bognor Regis Wiley Subscription Services, Inc 01.01.2018Vydáno v International journal of adaptive control and signal processing (01.01.2018)“…‐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
ISSN: 0020-0255, 1872-6291Vydáno: Elsevier Inc 15.03.2012Vydáno v Information sciences (15.03.2012)“… 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
Vydáno: IEEE 01.07.2016Vydáno v 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) (01.07.2016)“…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
ISBN: 1479975605, 9781479975600Vydáno: IEEE 01.12.2015Vydáno v 2015 IEEE Symposium Series on Computational Intelligence (01.12.2015)“…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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Takagi-Sugeno fuzzy model parameters identification based on fuzzy c-regression model clustering algorithm and particle swarm optimization
ISBN: 9781467307826, 1467307823ISSN: 2158-8473Vydáno: IEEE 01.03.2012Vydáno v 2012 16th IEEE Mediterranean Electrotechnical Conference (01.03.2012)“… This new approach combines the advantages of fuzzy c-regression model clustering algorithm and particle swarm optimization…”
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Intuitionistic fuzzy C-regression by using least squares support vector regression
ISSN: 0957-4174, 1873-6793Vydáno: Elsevier Ltd 01.12.2016Vydáno v Expert systems with applications (01.12.2016)“…•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
ISBN: 9781457706523, 1457706520ISSN: 1062-922XVydáno: IEEE 01.10.2011Vydáno v 2011 IEEE International Conference on Systems, Man, and Cybernetics (01.10.2011)“…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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Hysteresis Modeling of Piezoelectric Actuators Based on a T-S Fuzzy Model
ISSN: 2079-9292, 2079-9292Vydáno: Basel MDPI AG 01.09.2022Vydáno v Electronics (Basel) (01.09.2022)“… Firstly, an improved fuzzy c regression clustering algorithm is proposed to identify the antecedent parameters of T-S fuzzy model…”
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A modified fuzzy c-regression model clustering algorithm for T-S fuzzy model identification
ISBN: 9781457704130, 1457704137Vydáno: IEEE 01.03.2011Vydáno v 2011 8th International Multi-Conference on Systems, Signals and Devices (01.03.2011)“…In this paper, a modified fuzzy c-regression model (FCRM) clustering algorithm for identification of Takagi-Sugeno…”
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Hydraulic turbine governing system identification using T–S fuzzy model optimized by chaotic gravitational search algorithm
ISSN: 0952-1976, 1873-6769Vydáno: Elsevier Ltd 01.10.2013Vydáno v Engineering applications of artificial intelligence (01.10.2013)“…) 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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An Approach Towards the Design of Interval Type-3 T-S Fuzzy System
ISSN: 1063-6706, 1941-0034Vydáno: New York IEEE 01.09.2022Vydáno v IEEE transactions on fuzzy systems (01.09.2022)“…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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A study of cluster validity criteria for the fuzzy c-regression models clustering algorithm
ISBN: 142440990X, 9781424409907ISSN: 1062-922XVydáno: IEEE 01.10.2007Vydáno v 2007 IEEE International Conference on Systems, Man and Cybernetics (01.10.2007)“…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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Adaptive Inverse Controller Design Based on the Fuzzy C-Regression Model (FCRM) and Back Propagation (BP) Algorithm
ISSN: 2078-2489, 2078-2489Vydáno: Basel MDPI AG 01.12.2019Vydáno v Information (Basel) (01.12.2019)“… 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
ISSN: 0041-624X, 1874-9968, 1874-9968Vydáno: Netherlands Elsevier B.V 01.02.2018Vydáno v Ultrasonics (01.02.2018)“…•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
ISSN: 1562-2479, 2199-3211Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2018Vydáno v International journal of fuzzy systems (01.08.2018)“…This study proposes a new fuzzy time series model based on Fuzzy C-Regression Model clustering algorithm (FCRMF…”
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Hybrid robust approach for TSK fuzzy modeling with outliers
ISSN: 0957-4174, 1873-6793Vydáno: Elsevier Ltd 01.07.2009Vydáno v Expert systems with applications (01.07.2009)“… The approach consists of a robust fuzzy C-regression model (RFCRM) clustering algorithm in the coarse-tuning phase and an annealing robust back-propagation (ARBP…”
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A novel fuzzy c-regression model algorithm using a new error measure and particle swarm optimization
ISSN: 1641-876X, 2083-8492, 2083-8492Vydáno: Zielona Góra Versita 01.09.2012Vydáno v International Journal of Applied Mathematics and Computer Science (01.09.2012)“…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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On robust fuzzy c-regression models
ISSN: 0165-0114, 1872-6801Vydáno: Elsevier B.V 15.11.2015Vydáno v Fuzzy sets and systems (15.11.2015)“… Its generalization by application of hyperplane shaped prototypes of the clusters is known as the Fuzzy C-Regression Models (FCRM) method…”
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A new approach to fuzzy modeling
ISSN: 1063-6706Vydáno: IEEE 01.08.1997Vydáno v IEEE transactions on fuzzy systems (01.08.1997)“…: coarse tuning and fine tuning. In coarse tuning, fuzzy C-regression model (FCRM) clustering is used, which is a modified version of fuzzy C-means (FCM…”
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