Artificial neural networks in time domain electromagnetics

O. Dumin, S. Khmara, D. Shyrokorad
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引用次数: 5

Abstract

The application of artificial neural networks (ANN) is considered to the problems of electromagnetics in time domain. Amplitudes of electromagnetic field in definite points of observation in different moments of time are proposed for using as initial values for an input layer of neural network. As examples the different structures of ANN were applied to solve the problem of determination of layered medium parameters by reflected transient field analysis. The incident field is plane wave with Gaussian time dependence. The stability of the determination of medium geometrical and electrical characteristics is studied for the case of presence of experimental errors, outer interferences, and instabilities of medium parameters.
时域电磁学中的人工神经网络
将人工神经网络(ANN)应用于电磁学的时域问题。提出了确定观测点在不同时刻的电磁场幅值作为神经网络输入层的初始值。作为实例,应用不同结构的人工神经网络解决了用反射瞬态场分析确定层状介质参数的问题。入射场为平面波,具有高斯时间依赖性。研究了在存在实验误差、外部干扰和介质参数不稳定的情况下,介质几何和电特性测定的稳定性。
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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