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Field Strength Prediction Based on Wavelet Neural Network

机译:基于小波神经网络的场强预测

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摘要

A new approach for electromagnetic field strength prediction based on wavelet neural networks is proposed. First of all, use a three dimensional parabolic equation technique to calculate the field strength as the measurements. And establish a 3-layer wavelet neural network model, then use the well trained network to predict the field strength for different frequency. The results show that it is an effective way to resolve the electromagnetic problem.
机译:提出了一种基于小波神经网络的电磁场强度预测新方法。首先,使用三维抛物线方程技术计算场强作为测量值。并建立一个三层小波神经网络模型,然后使用训练有素的网络来预测不同频率下的场强。结果表明,这是解决电磁问题的有效途径。

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