Improving the prediction capability of radial basis function networks

被引：0
|
作者：
Gurumoorthy, Anand [1 ]
Kosanovich, Karlene A. [1 ]
机构：
[1] Univ of South Carolina, Columbia, United States
来源：
Industrial and Engineering Chemistry Research | 1998年 / 37卷 / 10期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：3956 / 3970
相关论文
共 50 条
  • [1] Improving the prediction capability of radial basis function networks
    Gurumoorthy, A
    Kosanovich, KA
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 1998, 37 (10) : 3956 - 3970
  • [2] Improving the prediction of radial basis function networks for power systems
    Guo, JJ
    Luh, PB
    2001 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, CONFERENCE PROCEEDINGS, VOLS 1-3, 2001, : 528 - 532
  • [3] PREDICTION OF INDUSTRIAL POLLUTION BY RADIAL BASIS FUNCTION NETWORKS
    Djebbrii, Nadjet
    Rouainia, Mounira
    ENVIRONMENT PROTECTION ENGINEERING, 2018, 44 (03): : 153 - 164
  • [4] Improving the Generalization Properties of Radial Basis Function Neural Networks
    Bishop, Chris
    NEURAL COMPUTATION, 1991, 3 (04) : 579 - 588
  • [5] A training method for improving the generalization performance of radial basis function networks
    Luan, SJ
    He, C
    Xu, LX
    Ma, DS
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 859 - 863
  • [6] A comparison between Kriging and radial basis function networks for nonlinear prediction
    Costa, JP
    Pronzato, L
    Thierry, E
    PROCEEDINGS OF THE IEEE-EURASIP WORKSHOP ON NONLINEAR SIGNAL AND IMAGE PROCESSING (NSIP'99), 1999, : 726 - 730
  • [7] Prediction of enthalpy of alkanes by the use of radial basis function neural networks
    Yao, XJ
    Zhang, XY
    Zhang, RS
    Liu, MC
    Hu, ZD
    Fan, BT
    COMPUTERS & CHEMISTRY, 2001, 25 (05): : 475 - 482
  • [8] Chaotic Time Series Prediction Using Radial Basis Function Networks
    Nguyen Van Truc
    Duong Tuan Anh
    PROCEEDINGS OF 2018 4TH INTERNATIONAL CONFERENCE ON GREEN TECHNOLOGY AND SUSTAINABLE DEVELOPMENT (GTSD), 2018, : 753 - 758
  • [9] Vessel Trajectory Prediction Using Radial Basis Function Neural Networks
    Stogiannos, Marios
    Papadimitrakis, Myron
    Sarimveis, Haralambos
    Alexandridis, Alex
    IEEE EUROCON 2021 - 19TH INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES, 2021, : 113 - 118
  • [10] Interpolation capability of the periodic radial basis function network
    Abe, Y.
    Iiguni, Y.
    IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 2006, 153 (06): : 785 - 794
12345