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Modelling of physical slot parameters with Artificial Neural Networks for U-slot rectangular microstrip patch antennas

机译:U形矩形微带贴片天线的人工神经网络物理缝隙参数建模

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摘要

In this study, slot length and slot width physical parameters that calculated theoretically before on U-slot rectangular microstrip antennas are calculated with two different ‘artificial neural network’ models then using experimental slot parameters in the literature. The aim of the first model is presenting an approach for calculation of U-slot physical parameters obtained theoretically, with ‘artificial neural networks’. The second model shows that experimental U-slot physical parameters can be calculated by the help of ‘artificial neural networks’. The results from the second model are compared with experimental results in the literature and it was seen that they are compatible.
机译:在这项研究中,使用两个不同的“人工神经网络”来计算U形矩形微带天线之前在理论上计算出的缝隙长度和缝隙宽度物理参数。模型,然后使用文献中的实验广告位参数。第一个模型的目的是提出一种通过“人工神经网络”计算理论上获得的U槽物理参数的方法。第二个模型显示,可以通过“人工神经网络”来计算实验性U槽物理参数。将第二个模型的结果与文献中的实验结果进行比较,发现它们是兼容的。

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