Design of Circular Microstrip Antenna using Neural Networks

Abstract

An artificial neural network architecture is developed for design of circular microstrip antenna. The network takes the thickness of the substrate, dielectric constant and the resonant frequency in the dominant TM11 mode as its input and gives the correspondig radius of the circular patch. A fast learning algorithm has been used for training.