Optimization of SVM Method with RBF kernel

被引：6
|
作者：
Wang Cheng [1 ]
机构：
[1] Hubei Inst Fine Arts, Dept Common Required Courses, Wuhan 430205, Hubei, Peoples R China
来源：
FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE IV, PTS 1-5 | 2014年 / 496-500卷
关键词：
Support Vector Machine; RBF Kernel; Bilinear Grid Search; Model Selection; Parameters Optimization;
D O I：
10.4028/www.scientific.net/AMM.496-500.2306
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Usually there is no a uniform model to the choice of SVM's kernel function and its parameters for SVM. This paper presents a bilinear grid search method for the purpose of getting the parameter (C, gamma) of SVM with RBF kernel, with the approach of combining grid search with bilinear search. Experiment results show that the proposed bilinear grid search. has combined both the advantage of moderate training quantity by the bilinear search and of high predict accuracy by the grid search.
引用
收藏
页码：2306 / 2310
页数：5
相关论文
共 50 条
  • [31] The optimization of kernel function and its parameters for SVM in well-logging
    Ren, Yili
    Hu, Fuxiang
    Miao, Hongping
    2016 13TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, 2016,
  • [32] Method and Application of RBF Network Structure Optimization
    Han, Zibo
    Yang, Jinfang
    ADVANCED MANUFACTURING TECHNOLOGY, PTS 1-4, 2012, 472-475 : 1668 - 1675
  • [33] Selection and Parameter Optimization of SVM Kernel Function for Underwater Target Classification
    Sherin, B. M.
    Supriya, M. H.
    2015 IEEE UNDERWATER TECHNOLOGY (UT), 2015,
  • [34] An intrusion detection approach using SVM and multiple kernel method
    Li, Yuping
    Li, Weidong
    Wu, Guoqiang
    International Journal of Advancements in Computing Technology, 2012, 4 (01) : 463 - 469
  • [35] Variant of Gaussian kernel and parameter setting method for nonlinear SVM
    Zhou, Shui-Sheng
    Liu, Hong-Wei
    Ye, Feng
    NEUROCOMPUTING, 2009, 72 (13-15) : 2931 - 2937
  • [36] Ensemble kernel method:SVM classification based on game theory
    Yufei Liu
    Dechang Pi
    Qiyou Cheng
    JournalofSystemsEngineeringandElectronics, 2016, 27 (01) : 251 - 259
  • [37] A GPU based SVM method with accelerated kernel matrix calculation
    Yan, Bo
    Ren, Yitian
    Yang, Zijiang
    2015 IEEE INTERNATIONAL CONGRESS ON BIG DATA - BIGDATA CONGRESS 2015, 2015, : 41 - 46
  • [38] Ensemble kernel method: SVM classification based on game theory
    Liu, Yufei
    Pi, Dechang
    Cheng, Qiyou
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2016, 27 (01) : 251 - 259
  • [39] AN AUTOMATIC KERNEL PARAMETER SELECTION METHOD FOR KERNEL NONPARAMETRIC WEIGHTED FEATURE EXTRACTION WITH THE RBF KERNEL FOR HYPERSPECTRAL IMAGE CLASSIFICATION
    Hsieh, Pei-Jyun
    Li, Cheng-Hsuan
    Kuo, Bor-Chen
    Tsai, Pei-Ling
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 1706 - 1709
  • [40] Efficient Face Recognition Method Using RBF Kernel and Genetic Algorithm
    Verma, Ram Naresh
    Jain, Kunal
    Rizvi, M. A.
    2015 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONTROL (IC4), 2015,
12345