应用神经元网络技术估计反射微波信号的地下空气层厚度

2008 12th International Conference on Mathematical Methods in Electromagnetic Theory Pub Date : 2008-07-29 DOI:10.1109/MMET.2008.4580920

O. Drobakhin, A. V. Doronin

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引用次数: 16

摘要

考虑了神经元网络技术在地下空气层厚度估计中的应用。采用时域信号包络作为输入数据。选择具有反向传播和s形神经元激活函数的三层神经元网络。并与相关法计算结果进行了比较。

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Estimation of thickness of subsurface air layer by neuron network technology application to reflected microwave signal

Neuron network technology application to subsurface air layer thickness estimation is considered. The envelope of time-domain signal was used as input data. The three-layered neuron network with backpropagation and sigmoid (S-shaped) activation function of neurons was chosen. The comparison with results of correlation method is presented.

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2008 12th International Conference on Mathematical Methods in Electromagnetic Theory

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