Android mobile app development of neural networks for performance parameters computation of microstrip antennas

Recently, smart phones have become popular in research applications because of improved performance. Several engineering and non-engineering applications are implemented in android operating system. One of the promising application area might be antenna engineering domain by developing apps in existing smart phones that can accurately determine vital parameters in antenna design. The objective of this paper is to develop mobile apps of neural network models in android OS for computing different performance parameters of microstrip antennas (MSAs). The proposed approach is applied in two diverse examples of MSAs for analyzing its performance in real world cases. The apps are made user friendly with a simplistic GUI. The results of the examples are compared with many references and a very good agreement is attained amongst them.