— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
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...
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 Netw...
Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyn...
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Abstract—Fingerprinting localization techniques provide reliable location estimates and enable the development of location aware applications especially for indoor environments, ...
Christos Laoudias, Paul Kemppi, Christos G. Panayi...