Výsledky vyhledávání - Kernel fuzzy C-regression model clustering

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  1. 1

    A novel recursive T-S fuzzy semantic modeling approach for discrete state-space systems Autor Li, Liang-Qun, Wang, Xiao-Li, Xie, Wei-Xin, Liu, Zong-Xiang

    ISSN: 0925-2312, 1872-8286
    Vydáno: Elsevier B.V 07.05.2019
    Vydáno v Neurocomputing (Amsterdam) (07.05.2019)
    “…•Fuzzy correntropy is constructed.•A novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed…”
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    Journal Article
  2. 2

    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

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.08.2019
    Vydáno v Soft computing (Berlin, Germany) (01.08.2019)
    “…This paper presents the development of a novel interval-valued type-2 robust fuzzy c-regression model (IVT2RFCRM…”
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    Journal Article
  3. 3

    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

    ISSN: 1051-2004, 1095-4333
    Vydáno: Elsevier Inc 01.03.2021
    Vydáno v Digital signal processing (01.03.2021)
    “…•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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    Journal Article
  4. 4

    A fuzzy kernel c-means clustering model for handling concept drift in regression Autor Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu

    ISSN: 1558-4739
    Vydáno: IEEE 01.07.2017
    “… 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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    Konferenční příspěvek
  5. 5

    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.

    Vydáno: IEEE 01.08.2015
    “… 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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    Konferenční příspěvek
  6. 6

    Three-Layer Weighted Fuzzy Support Vector Regression for Emotional Intention Understanding in Human-Robot Interaction Autor Chen, Luefeng, Zhou, Mengtian, Wu, Min, She, Jinhua, Liu, Zhentao, Dong, Fangyan, Hirota, Kaoru

    ISSN: 1063-6706, 1941-0034
    Vydáno: New York IEEE 01.10.2018
    Vydáno v IEEE transactions on fuzzy systems (01.10.2018)
    “… 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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  7. 7

    基于SOM-FCM和KELM组合方法的短期光伏功率预测 Autor 刘齐波, 李军

    ISSN: 1674-8042
    Vydáno: 兰州交通大学 自动化与电气工程学院,甘肃兰州 730070 2024
    Vydáno v 测试科学与仪器 (2024)
    “…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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  8. 8

    Which Features Are More Correlated to Illuminant Estimation: A Composite Substitute Autor Luo, Yunhui, Wang, Xingguang, Wang, Qing

    ISSN: 2076-3417, 2076-3417
    Vydáno: Basel MDPI AG 01.02.2022
    Vydáno v Applied sciences (01.02.2022)
    “… This framework employs a multi-model structure and integrates the functions of kernel-based fuzzy c-means (KFCM…”
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