The utilization of neural networks to radiation pattern of microstrip antenna formation

M. Wnuk, L. Nowosielski, M. Bugaj
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引用次数: 4

Abstract

Artificial Neural Networks (ANN) have recently gained attention as a fast and flexible vehicle for microwave modelling, simulation and optimization. This paper provides an overview of the possibility of applying artificial neural networks during the process of shaping the profile (radiation pattern) of microstrip antenna array. Some algorithms based on neural networks are able to accelerate the process at considerable stages by using parallel operations. By appropriate selection of learning data, solution in the time approximate to real is realized. Based on specially implemented in the MATLAB environment algorithm for making artificial neural networks, “Flex Tool” computer simulation was performed.
神经网络在微带天线形成辐射方向图中的应用
近年来,人工神经网络(ANN)作为一种快速、灵活的微波建模、仿真和优化工具受到了广泛关注。本文综述了在微带天线阵列轮廓(辐射方向图)成形过程中应用人工神经网络的可能性。一些基于神经网络的算法通过使用并行运算,可以在相当大的阶段加速过程。通过对学习数据的适当选择,实现了在近似于实数的时间内求解。基于在MATLAB环境下专门实现的制作人工神经网络的算法,在“Flex工具”上进行了计算机仿真。
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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