A C-shaped split ring resonator-based metamaterial (MTM) structure placed on a patch antenna is proposed. An artificial neural network (ANN) is applied to design and determine dimensions of an MTM structure that is similar to those used in wireless communication systems, such as Wi-Fi and WiMax, as well as in military vehicles and space stations. The proposed microstrip antenna interacts with the MTM-based structures to improve the reflection coefficient (S11) and quality factor. The design of the proposed structure is optimized for this purpose in accordance with the ANN studies in the related literature. Both simulation and experimental studies show that ANN calculated MTM antennas improved the quality factor, which is calculated as 230 at 5.18 GHz. The simulated S11 is verified by experiment to show the integrity of the proposed work.

中文翻译：

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基于神经网络的C形裂环谐振器型超材料天线设计

提出了一种放置在贴片天线上的基于C形裂环谐振器的超材料（MTM）结构。人工神经网络（ANN）用于设计和确定MTM结构的尺寸，该结构类似于在无线通信系统（例如Wi-Fi和WiMax）以及军用车辆和空间站中使用的结构。拟议的微带天线与基于MTM的结构相互作用，以提高反射系数（S11）和品质因数。为此，根据相关文献中的ANN研究，对建议结构的设计进行了优化。仿真和实验研究均表明，ANN计算出的MTM天线改善了品质因数，该品质因数在5.18 GHz时计算为230。通过实验验证了仿真的S11，以显示所提出工作的完整性。