Microstrip Antenna Design Using Artificial Neural Networks

Neural-network computational modules have recently gained recognition as an unconventional and useful tool for RF and microwave modeling and design. Neural networks can be trained to learn the behavior of passive/active components/circuits. This work describes the fundamental concepts in this emerging area aimed at teaching RF/microwave engineers what neural networks are, why they are useful, when they can be used, and how to use them to model microstrip patch antenna. This work studies in-depth different designs and analysis methods of microstrip patch antenna using artificial neural-network and different network structure are also described from the RF/microwave designer's perspective. This article also illustrates two examples of microstrip antenna design and validating the utility of ANN in the area of microstrip antenna design. (c) 2009 Wiley Periodicals, Inc. Int J RF and Microwave CAE 20: 76-86, 2010.