RF filter design using Deep Learning and Artificial Intelligence

Mouatez Bellah Karabaghli, K. Frigui, Mouhamadou Moctar, S. Bila, D. Baillargeat
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Abstract

In this paper an RF filter optimization by using deep learning method is presented. This approach allows to predict the geometrical dimensions of the RF filter based on S-parameters as input data. A validation of this method is detailed by designing a four-pole rectangular waveguide filter.
利用深度学习和人工智能设计射频滤波器
本文提出了一种基于深度学习的射频滤波器优化方法。这种方法可以基于s参数作为输入数据来预测RF滤波器的几何尺寸。通过设计一个四极矩形波导滤波器,详细验证了该方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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