Abdelaziz A. Abdelhamid1,3,*, Sultan R. Alotaibi2
CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2305-2321, 2022, DOI:10.32604/cmc.2022.025739
Abstract The design of microstrip antennas is a complex and time-consuming process, especially the step of searching for the best design parameters. Meanwhile, the performance of microstrip antennas can be improved using metamaterial, which results in a new class of antennas called metamaterial antenna. Several parameters affect the radiation loss and quality factor of this class of antennas, such as the antenna size. Recently, the optimal values of the design parameters of metamaterial antennas can be predicted using machine learning, which presents a better alternative to simulation tools and trial-and-error processes. However, the prediction accuracy depends heavily on the quality of… More >
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