神经网络方法在降雨去极化效应预报中的应用

The Application of Neural Network in the Rain-induced Depolarization Effects Predication

利用神经网络中的BP算法，通过在已知的传播路径上降雨同极化衰减CPA来预算降雨去极化分辨率XPD，且将计算结果与其他算法进行了对比。本文的工作是神经网络方法在建立电波大气传输效应预报模型应用中的有益尝试。

In this paper, the depolarization discrimination inducde by rain XPD is computed from the obtained copolarization attenuation CPA and the propagation path length by means of back propagation (BP algorithm) in neural network. The predicated results are also compared with other methods. It is a useful try to construct the radio wave propagation predication model by the neural network.