Multi-class support vector machines based on fuzzy kernel cluster

被引：0
|
作者：
Cao, Wei [1 ,2 ]
Zhao, Yingkai [2 ]
Gao, Shiwei [1 ]
机构：
[1] Automation Institute of Lanzhou Petrochemical Company, PetroChina, Gansu Lanzhou 730060, China
[2] School of Automation, Nanjing University of Technology, Jiangsu Nanjing 210009, China
来源：
Huagong Xuebao/CIESC Journal | 2010年 / 61卷 / 02期
关键词：
17;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：420 / 424
相关论文
共 50 条
  • [1] Kernel Based Data-Adaptive Support Vector Machines for Multi-Class Classification
    Shao, Jianli
    Liu, Xin
    He, Wenqing
    MATHEMATICS, 2021, 9 (09)
  • [2] Relevance feedback of image retrieval based on multi-class fuzzy support vector machines
    School of Computer Science and Technology, Anhui University, Hefei 230039, China
    Huanan Ligong Daxue Xuebao, 2008, 9 (107-112):
  • [3] A new multi-class support vector machines
    Xin, D
    Wu, ZH
    Pan, YH
    2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE, 2002, : 1673 - 1676
  • [4] Puncturing multi-class support vector machines
    Pérez-Cruz, F
    Artés-Rodríguez, A
    ARTIFICIAL NEURAL NETWORKS - ICANN 2002, 2002, 2415 : 751 - 756
  • [5] Support vector machines for multi-class classification
    Mayoraz, E
    Alpaydin, E
    ENGINEERING APPLICATIONS OF BIO-INSPIRED ARTIFICIAL NEURAL NETWORKS, VOL II, 1999, 1607 : 833 - 842
  • [6] Fuzzy rules extraction from support vector machines for multi-class classification
    Chaves, Adriana da Costa F.
    Vellasco, Marley Maria B. R.
    Tanscheit, Ricardo
    ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 : 99 - +
  • [7] Fuzzy rules extraction from support vector machines for multi-class classification
    Adriana da Costa F. Chaves
    Marley Maria B. R. Vellasco
    Ricardo Tanscheit
    Neural Computing and Applications, 2013, 22 : 1571 - 1580
  • [8] Fuzzy rules extraction from support vector machines for multi-class classification
    Chaves, Adriana da Costa F.
    Vellasco, Marley Maria B. R.
    Tanscheit, Ricardo
    NEURAL COMPUTING & APPLICATIONS, 2013, 22 (7-8): : 1571 - 1580
  • [9] Probability output of multi-class support vector machines
    Xin, Dong
    Wu, Zhao-Hui
    Pan, Yun-He
    Journal of Zhejinag University: Science, 2002, 3 (02): : 131 - 134
  • [10] Optimizing Support Vector Machines for Multi-class Classification
    Sahoo, J. K.
    Balaji, Akhil
    ADVANCES IN COMPUTING AND DATA SCIENCES, ICACDS 2016, 2017, 721 : 393 - 398
12345