A new algorithm of selecting the radial basis function networks center

被引：0
|
作者：
Wang, HR [1 ]
Wang, HB [1 ]
Wei, LX [1 ]
Li, Y [1 ]
机构：
[1] Yanshan Univ, Dept Elect Engn, Qinhuangdao, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
RBF center; fuzzy c-mean algorithm; k - nearest-neighbor algorithm; simulations;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The selecting of the radial basis function center is a key, factor that influences the performance of network. In this paper we first introduce fuzzy c-mean algorithm and k-nearest-neighbor algorithm. as to the. selection of the radial basis function center briefly, and then we present a delta - nearest-neighbor cluster algorithm, which combines, k-nearest-neighbor algorithm with fuzzy c-mean algorithm. in the end we demonstrate performance results for dynamic system identification via simulations.
引用
收藏
页码：1801 / 1804
页数：4
相关论文
共 50 条
  • [1] PLS algorithm for radial basis function networks
    Wang, Y
    Rong, G
    Wang, SQ
    [J]. PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 4748 - 4753
  • [2] A Sequential Simplex Algorithm for Automatic Data and Center Selecting Radial Basis Functions
    Ma, Xiaofeng
    Ghosh, Tomojit
    Kirby, Michael
    [J]. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2017, : 549 - 556
  • [3] A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction
    Zhang, Long
    Li, Kang
    He, Haibo
    Irwin, George W.
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2013, 24 (11) : 1785 - 1798
  • [4] A LEARNING ALGORITHM FOR RECURRENT RADIAL BASIS FUNCTION NETWORKS
    MAK, MW
    [J]. NEURAL PROCESSING LETTERS, 1995, 2 (01) : 27 - 31
  • [5] Interactive gradient algorithm for radial basis function networks
    Li, JY
    Luo, SW
    Qi, YJ
    Huang, YP
    [J]. 2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II, 2002, : 1187 - 1190
  • [6] An incremental algorithm for learning radial basis function networks
    Blanzieri, E
    Giordana, A
    [J]. FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 667 - 673
  • [7] An algorithm for selecting a good value for the parameter c in radial basis function interpolation
    Rippa, S
    [J]. ADVANCES IN COMPUTATIONAL MATHEMATICS, 1999, 11 (2-3) : 193 - 210
  • [8] An algorithm for selecting a good value for the parameter c in radial basis function interpolation
    Shmuel Rippa
    [J]. Advances in Computational Mathematics, 1999, 11 : 193 - 210
  • [9] An efficient learning algorithm for function approximation with radial basis function networks
    Oyang, YJ
    Hwang, SC
    [J]. ICONIP'02: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING: COMPUTATIONAL INTELLIGENCE FOR THE E-AGE, 2002, : 1037 - 1042
  • [10] Fault tolerance in the learning algorithm of radial basis function networks
    Parra, X
    Català, A
    [J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL III, 2000, : 527 - 532
12345