Design of well-matched UHF Planar Bowtie Dipole Antenna using Neural Model

In this paper we present neural model for planar bowtie dipole antenna based on multilayer perceptron network (MLP). This model is part of realized software under the name "BT ANN Design ZM" for design of a well- matched antenna in UHF band. For desired central frequency of the bowtie antenna, this software provides fast estimation of the length and flare angle in order antenna to be well-matched on the feed line. The current software version provides antenna design matched on 50 Ω feed line in the frequency band 500 ÷ 3500 MHz.