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Printed dipole antenna design using artificial neural network Modeling for RFID application

机译:基于人工神经网络的印刷偶极子天线设计在RFID中的应用

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摘要

An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antenna-layout dimensions are used to capture critical input/output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient computationally in antenna design optimization. (c) 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE 16: 607-611, 2006.
机译:本文提出了一种使用人工神经网络(ANN)建模技术进行印刷偶极子天线设计的方法。三个重要的天线布局尺寸用于捕获ANN模型中的关键输入/输出关系。一旦完全开发,ANN模型已被证明与EM仿真器一样准确,并且在天线设计优化中的计算效率更高。 (c)2006 Wiley Periodicals,Inc.国际J RF和微波CAE 16:607-611,2006。

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