基于神经网络B—P算法的雹云识别模型及其效果检验

本文根据成都、内江和泸州等地的雷达回波和部分探空资料，应用神经网络Ｂ－Ｐ算法建立了不同地区的３参数和４参数雹云识别模型，并对模型进行了分析和效果检验。结果表明：该模型不仅能得到较高的拟合率和预报准确率，而且由于Ｂ－Ｐ网络具有自组织，自学习和自适应的能力，与其它方法相比具有一定的优越性。

RECOGNITION MODEL OF HAIL CLOUD BASED ON NEURAL NETWORK B-P ALGORITHM AND ITS RESULTS VERIFICATION

In this paper,based on the Back-Propagation(B-P) algorithm of neural network,some recognition models of hail cloud with 3 and 4 parameters are formulated by using the data of radar echo and part radiosonde over Chengdu, Neijiang and Luzhou Results of analysis and verification indicate that the models of hail cloud recognition formulated by B-P algorithm possess not only good fitting ratio and forecasting accuracy,but also superiority comparing with other methods because of self-organization,self-learning and self-adaptability