Abstract:
According to RBF neural network theory, it
is well known that the (recognition) performances of
these architectures depend a lot by the positioning
method of centers into input dataspace. Using the
affiliation of genetic algorithms to the class of the global
searching techniques, and their ability to offer very good
results in solving of complex optimization problems, it is
justified the attempt to select RBF neural network
centers through a suitable genetic procedure.
