Using Artificial Neural Network to Model Microstrip Inset Fed Rectangular Patch Antenna

Artificial neural networks (ANNs) techniques are recently indicating a lot of promise in application for various microwaves engineering field. Such a use of ANNs for estimating input impedance of rectangular microstrip patch antennas is presented in this paper. The performance of the neural networks based estimators has been compared with the theoretical values and excellent performance is indicated. Neural networks based estimation has the usual advantage of very fast & simultaneous response of all the outputs.