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Artificial neural networks in time domain electromagnetics

机译:时域电磁学中的人工神经网络

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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.
机译:人工神经网络(ANN)的应用被认为是时域中的电磁问题。提出了在不同时刻的确定观察点中的电磁场幅度,以用作神经网络输入层的初始值。例如,采用神经网络的不同结构来解决通过反射瞬态场分析确定层状介质参数的问题。入射场是具有高斯时间依赖性的平面波。对于存在实验误差,外部干扰和介质参数不稳定性的情况,研究了确定介质几何和电气特性的稳定性。

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