Suchergebnisse - Kernel fuzzy C-regression model clustering

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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Design of a robust interval-valued type-2 fuzzy c-regression model for a nonlinear system with noise and outliers von 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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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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A fuzzy kernel c-means clustering model for handling concept drift in regression von Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu

“… This paper proposes a self-adaptive algorithm, based on a fuzzy kernel c-means clustering approach and a lazy learning algorithm, called FKLL, to handle drift in regression learning …”
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A type-2 fuzzy intelligent agent based on sparse kernel machines for reducing bullwhip effect in supply chain von 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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Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human-Robot Interaction von Chen, Luefeng, Zhou, Mengtian, Wu, Min, She, Jinhua, Liu, Zhentao, Dong, Fangyan, Hirota, Kaoru

“… The TLWFSVR model consists of three layers, including adjusted weighted kernel fuzzy c-means for data clustering, fuzzy support vector regressions (FSVR …”
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基于SOM-FCM和KELM组合方法的短期光伏功率预测 von 刘齐波, 李军

“… 为了提高短期光伏发电预测的精度,本文提出了一种将聚类后的自组织映射网络(SOM)与优化的核极值学习机(KELM)方法相结合的混合预测模型.首先,利用SOM来对训练数据集进行初始划分.然后,利用模糊C均值(FCM)对训练好的SOM网络进行聚类操作,同时利用Davies-Bouldin指数(DBI)来确定最佳聚类的大小 …”
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Which Features Are More Correlated to Illuminant Estimation: A Composite Substitute von Luo, Yunhui, Wang, Xingguang, Wang, Qing

“… This framework employs a multi-model structure and integrates the functions of kernel-based fuzzy c-means (KFCM …”
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