利用人工神经网络设计l波段最佳增益锥体喇叭

2013 IEEE Applied Electromagnetics Conference (AEMC) Pub Date : 2013-12-01 DOI:10.1109/AEMC.2013.7045047

A. Modi, J. Mehta, N. Pisharody

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引用次数: 3

摘要

本文利用人工神经网络对l波段锥体喇叭天线的最佳增益进行了优化。对人工神经网络进行训练后，对于任何期望的增益和频率(l波段)，都能以较高的精度生成锥体喇叭天线的设计参数。期望增益的误差小于1.3%。

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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Design of optimum gain L-band pyramidal horn using Artificial Neural Network

In this paper, optimization of optimum gain pyramidal horn Antenna for L-band has been done using Artificial Neural Networks (ANN). The ANN is trained in such a way that for any desired gain and frequency (L-band), it can generate design parameters of pyramidal horn antenna with great accuracy. The errors in the desired gain are less than 1.3%.

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2013 IEEE Applied Electromagnetics Conference (AEMC)

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