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    ESANN
    2003
    184views Neural Networks» more  ESANN 2003»
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    14 years 7 months ago
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    Download  www.dice.ucl.ac.be
    In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
    Jianyu Li, Siwei Luo, Yingjian Qi
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    IDEAL
    2003
    Springer
    214views Intelligent Agents» more  IDEAL 2003»
    Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks
    14 years 11 months ago
    Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks
    Download  www.intelengine.cn
    This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
    Wen-Bo Zhao, De-Shuang Huang, Lin Guo
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    ICANN
    2007
    Springer
    149views Neural Networks» more  ICANN 2007»
    Deformable Radial Basis Functions
    14 years 11 months ago
    Deformable Radial Basis Functions
    Download  www.uni-tuebingen.de
    Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
    Wolfgang Hübner, Hanspeter A. Mallot
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    ICTAI
    2002
    IEEE
    119views Artificial Intelligence» more  ICTAI 2002»
    Function Approximation Using Robust Wavelet Neural Networks
    14 years 10 months ago
    Function Approximation Using Robust Wavelet Neural Networks
    Download  users.cs.fiu.edu
    Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
    Sheng-Tun Li, Shu-Ching Chen
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    IJCNN
    2000
    IEEE
    144views Neural Networks» more  IJCNN 2000»
    An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas
    14 years 10 months ago
    An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas
    Download  faculty.washington.edu
    Ryan Mukai, Payman Arabshahi, Victor A. Vilnrotter
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