Abstract
In this research paper, the application of Artificial Neural Networks (ANN) for designing antennas is introduced. The primary objective of this optimization technique is to focus on the antenna’s parameters to achieve a desirable S 11 value, which is a key metric of an antenna’s performance. To demonstrate the effectiveness of this approach, the optimization method to design three different antennas using the Numerical Analyzer (MATLAB) tool is employed. Through this study, it is tried to provide new insights into the optimization of antenna design using ANN and demonstrate its potential applications in the field of antenna engineering. The results of this research could potentially lead to the development of more efficient and effective antenna systems with improved performance in various applications.
Cite
CITATION STYLE
Korkmaz, S., Alibakhshikenari, M., & Kouhalvandi, L. (2023). A Framework for Optimizing Antenna Through Genetic Algorithm-Based Neural Network. Acta Marisiensis. Seria Technologica, 20(1), 49–53. https://doi.org/10.2478/amset-2023-0009
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