A comparison between weighted radial basis functions and wavelet networks

In the present paper, Wavelet Networks, are proven to be, as well as many other neural paradigms, a speci c case of the generic paradigm named Weighted Radial Basis Functions Networks. Moreover, a fair comparison between Wavelet and more traditional WRBF networks for function approximation is attempted, in order to demonstrate that the performance depends only on how good the chosen mother activation function ts" the function itself.

• Type: Conference
• Year: 1998
• Where: ESANN
• Authors: Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyneri
• Keywords: Basis Functions Networks, ESANN 1998, ESANN 2007, Mother Activation Function, Wavelet Networks