One of the main factors used to analyze the performance of microstrip patch antennas in Android-based mobile applications, rather than licensing-based antenna design software due to its cost-effectiveness. It can be used to develop significant mobile applications to calculate the gain, return loss, and efficiency in different types of microstrip patch antenna with various input parameters. A literature review of various mobile applications and their development techniques is presented in this work. The main goal is that “Performance Analysis of Microstrip Patches” is to create a complete Android application that can calculate the parameters using the Non-Linear Vector Decomposed Neural Network (NVDN) method. Modern handheld devices, such as smartphones and Personal Digital Assistants (PDAs), have become more powerful in recent years. A major breakthrough in processing power, along with the additional features included in these devices has opened the door to a wide range of business opportunities. The proposed mobile applications of Android OS with neural network models have been evaluated the different parameters of Micro Strip Antennas (MSAs). The proposed android App is made for the user in a simple graphical friendly. The simulation results of the proposed model are compared with numerous references, and a decent arrangement is come to among them.

用于分析微带贴片天线在基于Android的移动应用程序中的性能的主要因素之一，由于其成本效益而不是基于许可的天线设计软件。它可用于开发大量的移动应用，以计算具有各种输入参数的不同类型微带贴片天线的增益，回波损耗和效率。这项工作介绍了各种移动应用程序及其开发技术的文献综述。主要目标是“微带补丁的性能分析”是创建一个完整的Android应用程序，该应用程序可以使用非线性矢量分解神经网络（NVDN）方法来计算参数。近年来，诸如智能手机和个人数字助理（PDA）等现代手持设备已变得越来越强大。处理能力的重大突破，以及这些设备中包含的其他功能，为各种商机打开了大门。具有神经网络模型的Android OS的拟议移动应用程序已评估了微带天线（MSA）的不同参数。拟议的android应用程序是通过简单的图形友好界面为用户制作的。将该模型的仿真结果与大量参考文献进行比较，并得出了合理的安排。建议的android应用程序是为用户提供的简单图形友好界面。将该模型的仿真结果与大量参考文献进行比较，并得出了合理的安排。建议的android应用程序是为用户提供的简单图形友好界面。将该模型的仿真结果与大量参考文献进行比较，并得出了合理的安排。