The growing interest in attaining various appealing features of wireless communication systems has motivated researchers to design innovative antennas. This paper analyzes the behavior of a low profile artificial neural network-based metasurface (MS) inspired two-layered frequency reconfigurable antenna (ANN-MSFRA) using planar technology. The designed two-layered structure is a combination of two substrates mounted one above the other, having no air gap between them. The prototype of the proposed antenna is fabricated on Rogers RO4350B material having permittivity (ε_r) = 3.48, and thickness (h) = 1.524 mm. The MS is represented as an artificially generated periodical array of H and I-shaped metallic inclusions. Numerically analyzed results validate the double negative properties of metamaterial. To verify the effectiveness of the projected two-layered approach, the performance of the reconfigurable antenna is analyzed through both simulations and measurements. The antenna successfully reconfigures the operating frequency from 4.86 to 5.89 GHz, covering the operating bandwidth of 1.03 GHz with a fractional tuning range of 19.1%. The presented simulated and measured outcome provides a positive correlation.The developed ANN model suggested for the estimation of specific output parameters shows minimum error during analysis and synthesis.

中文翻译：

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用于无线应用的基于人工神经网络的超表面启发平面频率可重构天线

人们对获得无线通信系统的各种吸引人的功能越来越感兴趣，这促使研究人员设计创新的天线。本文使用平面技术分析了基于超表面 (MS) 的低剖面人工神经网络 (MS) 启发的两层频率可重构天线 (ANN-MSFRA) 的行为。设计的两层结构是两个基板的组合，一个安装在另一个上面，它们之间没有气隙。拟议天线的原型是在罗杰斯 RO4350B 材料上制造的，其介电常数 ( ε _r ) = 3.48，厚度 ( h) = 1.524 毫米。MS 表示为人工生成的 H 形和 I 形金属夹杂物的周期性阵列。数值分析结果验证了超材料的双重负特性。为了验证预计的两层方法的有效性，通过仿真和测量来分析可重构天线的性能。该天线成功地将工作频率从 4.86 GHz 重新配置为 5.89 GHz，覆盖了 1.03 GHz 的工作带宽，部分调谐范围为 19.1%。所呈现的模拟和测量结果提供了正相关。建议用于估计特定输出参数的开发的 ANN 模型在分析和综合过程中显示出最小的误差。