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A Modified Two-Step ANN Ensemble Approach to Improve Generalization and its Application in Fractal Antenna Design

机译:改进的两步ANN集合方法,以改善泛化及其在分形天线设计中的应用

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摘要

In this work, a fractal antenna with rectangular base shape has been designed for 5.2 GHz resonant frequency. Recently, ANN modeling of fractal antenna parameters have shown to be an effective approach for its design optimization. But the selection of ANN ensemble members and their output aggregation are two important issues for efficient operation of ANN ensembles. A novel two-step method based on output sensitivity of ANN and genetic algorithm optimization of ensemble members has been proposed in this paper for addressing the above two issues. The proposed approach, which is a modified form of existing technique, has been first validated by applying it over six benchmark functions and compared with existing approach for improved performance. Further, the proposed approach has been used to develop an ANN ensemble for design optimization of fractal antenna at 5.2 GHz resonant frequency. The selected antenna geometry has been experimentally verified and has shown significant miniaturization of 48.34% as compared to conventional rectangular micro-strip antenna.
机译:在这项工作中,设计了具有矩形基础形状的分形天线,专为5.2GHz谐振频率设计。最近,分形天线参数的ANN建模已经显示为其设计优化的有效方法。但是,ANN集合成员的选择及其产出聚合是ANN集合有效运行的两个重要问题。本文提出了一种基于ANN和遗传算法优化的基于ANN和遗传算法优化的新的两步方法,以解决上述两个问题。通过将六个基准函数应用并与现有的性能进行比较,首先验证了所提出的现有技术的方法。此外,所提出的方法已被用于开发ANN集合,用于在5.2GHz谐振频率下设计优化分形天线。与传统的矩形微带天线相比,所选天线几何形状已经经过实验验证并且已经显着小型化48.34%。

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