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Teaching Application of MATLAB Fuzzy Logic Toolbox to Modeling Coplanar Waveguides

机译:MATLAB模糊逻辑工具箱在共面波导建模中的教学应用

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Adaptive neuro-fuzzy inference systems (ANFIS) have recently gained attention as fast and flexible vehicles to microwave modeling, simulation, and optimization. This article presents an initiative to teach the concept of modeling coplanar waveguides (CPWs) in the fuzzy logic toolbox of MATLAB to the electrical engineering students. The approach was based on illustrative applications that highlight the performance of ANFIS in the computation of the parameters of the microwave components. Following a brief description of CPWs, applications of the ANFIS modeling to the CPWs were done by means of a series of MATLAB functions. The author suggests that the use of MATLAB exercises will assist the students in gaining a better understanding of modeling CPWs by the use of ANFIS.
机译:自适应神经模糊推理系统(ANFIS)作为微波建模,仿真和优化的快速而灵活的工具最近已受到关注。本文提出了一项倡议,向电气工程专业的学生讲授在MATLAB的模糊逻辑工具箱中建模共面波导(CPW)的概念。该方法基于说明性应用,这些应用突出了ANFIS在计算微波组件参数中的性能。在对CPW进行简要描述之后,通过一系列MATLAB函数将ANFIS建模应用于CPW。作者建议使用MATLAB练习将帮助学生通过使用ANFIS更好地理解CPW建模。

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