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ESANN
2003
14 years 7 days ago
Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
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
IDEAL
2003
Springer
14 years 4 months ago
Comparative Study between Radial Basis Probabilistic Neural Networks and Radial Basis Function Neural Networks
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
ICANN
2007
Springer
14 years 5 months ago
Deformable Radial Basis Functions
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
ICTAI
2002
IEEE
14 years 3 months ago
Function Approximation Using Robust Wavelet Neural Networks
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