Výsledky vyhľadávania - "Fuzzy-c regression clustering"

Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification Autor Blazic, Saso, Skrjanc, Igor

“…In this paper, a new approach to evolving fuzzy model identification from streaming data is given. The structure of the model is given as a local model network…”
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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.

“…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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Hybrid System Identification by Incremental Fuzzy C-regression Clustering Autor 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 C-Regression Clustering Algorithm Based 7-Dof Redundant Manipulators Inverse Dynamics Control Autor 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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Interacting T-S fuzzy particle filter algorithm for transfer probability matrix of adaptive online estimation model Autor 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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基于改进模糊C回归聚类的水轮发电机组的模糊辨识 Autor 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…”
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Dynamic Type-2 Fuzzy Dependent Dirichlet Regression Mixture clustering model Autor 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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Hinging hyperplane based regression tree identified by fuzzy clustering and its application Autor 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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Interacting T-S Fuzzy Model Particle Filter Autor Li, Liang-Qun, Wang, Xiao-Li, Xie, Wei-Xin

“…, which is used to estimate the interacting transition probabilities between the models. Furthermore, to identify the premise parameters of T-S fuzzy model, a fuzzy C…”
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Multi-Source T-S Target Recognition via an Intuitionistic Fuzzy Method Autor Zhang, Chuyun, Xie, Weixin, Li, Yanshan, Liu, Zongxiang

“… To train the premise parameter and reduce the influence of data noise, novel intuitionistic fuzzy C-regression clustering based on dynamic optimization is proposed…”
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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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A type-2 fuzzy system model for reducing bullwhip effects in supply chains and its application in steel manufacturing Autor Fazel Zarandi, M.H., Gamasaee, R.

“… First, the demand data of a real steel industry in Canada is clustered with an interval type-2 fuzzy c-regression clustering algorithm…”
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A type-2 fuzzy expert system based on a hybrid inference method for steel industry Autor Fazel Zarandi, M. H., Gamasaee, R., Turksen, I. B.

“… In this model, the new interval type-2 fuzzy c-regression clustering algorithm for structure identification phase of Takagi–Sugeno…”
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A type-2 fuzzy system model for reducing bullwhip effects in supply chains and its application in steel manufacturing Autor Zarandi, M H Fazel, Gamasaee, R

“… First, the demand data of a real steel industry in Canada is clustered with an interval type-2 fuzzy c-regression clustering algorithm…”
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A type-2 fuzzy intelligent agent based on sparse kernel machines for reducing bullwhip effect in supply chain Autor Gamasaee, R., Fazel Zarandi, M. H., Turksen, I. B.

“… The T2F-IAS includes a data collector agent and a rule generator agent. A type-2 fuzzy c-regression clustering model is employed in the rule generator agent for generating the most proper rules…”
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Evolving fuzzy-madel-based on c-regression clustering Autor Skrjanc, Igor, Dovzan, Dejan, Gomide, Fernando

“… The structure of the model is given in the form of Takagi-Sugeno and the partitioning of the input-output space is obtained using a fuzzy c-regression clustering method and the approach also involves…”
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