基于人工神经网络的圆孔电磁耦合预测

孔缝电磁耦合问题历来是电磁兼容领域中的一个重要部分,多年来人们已经采用多种方法对孔缝电磁耦合问题进行了深入研究.随着电子系统的日益复杂,无论是全波分析还是解析方法在孔缝电磁耦合问题研究中都存在很大的局限性.为了更好的解决这个问题,本文探讨了人工神经网络用于孔缝耦合分析的可行性.以大量数值计算结果为训练样本,建立了适用于...

Prediction of the circular aperture electromagnetic coupling based on artificial neural network

The aperture coupling problem plays an important in electromagnetic compatibility (EMC).Both analytical and numerical methods have been developed to solve these problems. However, each of those methods faces more and more challenges since electronic systems are becoming increasingly complicated. In order to find some other approaches to solve the aperture coupling problem better, a prediction model based on artificial neural network is proposed in this paper. Using a lot of numerical results as the training sample, a prediction model for circular aperture electromagnetic coupling with any radius is determined. The predicted results of diffraction cross section show agreements with the simulation results which are never used in the training. The proposed model is expected to extend to solve more complicated aperture coupling problems of cavity.