Overview of RBF NN and Antenna Systems

Abstract

This paper presents the application of Radial Basis Function neural network in antenna array systems and in the estimation of polarization rotation estimation in the ionosphere. Radial Basis Function neural network is used as it satisfies both universal and best approximation property. We present the architecture of the network, as part of the total system. Presented results show low mean error values and very good match between the referent values and gained one, which shows the successfulness of the particular neural network.