user

Radial-basis-function neural network based on fast recursive algorithm and its application

被引：0
|
作者：
Du, Da-Jun [1 ]
Fei, Min-Rui [1 ]
Li, Li-Xiong [1 ]
机构：
[1] Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronical Engineering and Automation, Shanghai University, Shanghai 200072, China
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2008年 / 25卷 / 05期
关键词：
Orthogonal functions - Time series;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Considering the difficulty in selecting the numbers and determining the locations of the centers of radial basis functions (RBF) in the RBF neural network (RBFNN), a novel RBFNN is proposed based on the fast recursive algorithm (FRA). Using FRA, we can determine the numbers and locations of the centers, and derive the weights between the hidden layer and the output layer. The new RBFNN is used to fit a single-variable function curve and predict the Mackey-Glass chaotic time series. The simulation results demonstrate the effectiveness and practicability.
引用
下载
收藏
页码：827 / 830
相关论文
共 50 条
  • [41] Radial Basis Function Neural Network
    Matera, F
    SUBSTANCE USE & MISUSE, 1998, 33 (02) : 317 - 334
  • [42] Application of fluorescence spectra based on radial basis function neural network in identification of bacteria
    Wu Hao
    Zhu Tuo
    Kong Yan
    Chen Wei
    Yang Jian-Lei
    ACTA PHYSICA SINICA, 2010, 59 (04) : 2396 - 2400
  • [43] Universal Approximation Using Radial-Basis-Function Networks
    Park, J.
    Sandberg, I. W.
    NEURAL COMPUTATION, 1991, 3 (02) : 246 - 257
  • [44] Parallel radial basis function neural network based fast voltage estimation for contingency analysis
    Jain, T
    Srivastava, L
    Singh, SN
    Jain, A
    PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION, RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1 AND 2, 2004, : 780 - 784
  • [45] A Fast Direct Position Determination for Multiple Sources Based on Radial Basis Function Neural Network
    Chen, Xin
    Wang, Ding
    Liu, Zhi-peng
    Wu, Ying
    2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN), 2018, : 381 - 385
  • [46] A Radial Basis Function Neural Network-Based Fast Forecasting Model for Regional Economy
    Liu, Tangfa
    Li, Yan
    Jiang, Jianfeng
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2024, 33 (08)
  • [47] A Computationally Inexpensive Optimal Guidance via Radial-Basis-Function Neural Network for Autonomous Soft Landing on Asteroids
    Zhang, Peng
    Liu, Keping
    Zhao, Bo
    Li, Yuanchun
    PLOS ONE, 2015, 10 (09):
  • [48] Application of Radial Basis Function Neural Network Based on Ant Colony Algorithm in Credit Evaluation of Real Estate Enterprises
    Wu Yunna
    Si Zhaomin
    CALL OF PAPER PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, 2008, : 1322 - 1329
  • [49] Identification of Network Traffic Based on Radial Basis Function Neural Network
    Xu, Yabin
    Zheng, Jingang
    INTELLIGENT COMPUTING AND INFORMATION SCIENCE, PT I, 2011, 134 (0I): : 173 - 179
  • [50] A metaheuristic algorithm based on a radial basis function neural networks
    Rivera-Aguilar, Beatriz A.
    Cuevas, Erik
    Zaldívar, Daniel
    Pérez-Cisneros, Marco A.
    Neural Computing and Applications, 2024, 36 (35) : 22119 - 22147
12345