145 search results - page 1 / 29 » Approximation of Function by Adaptively Growing Radial Basis... |
ESANN
2003
13 years 6 months ago
2003
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...
IDEAL
2003
Springer
13 years 10 months ago
2003
Springer
This paper exhaustively discusses and compares the performance differences between radial basis probabilistic neural networks (RBPNN) and radial basis function neural networks (RBF...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
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...
ICTAI
2002
IEEE
13 years 9 months ago
2002
IEEE
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...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE