文章论述了鉴于降雨量受众多因素的影响和具有复杂的非线性特点,在Matlab环境下建立了RBF神经网络的降雨预测模型.经实例验证,该模型收敛速度快、预测精度高。并且与BP神经网络模型对比结果表明,该方法避免了BP神经网络的局部极小及收敛速度慢等缺点,在精度,训练速度等方面优于BP神经网络。 In this paper, a rainfall prediction model based on RBF neural network is established in the Matlab environment due to the influence of many factors and the complex nonlinear characteristics of rainfall. The example shows that the model has the advantages of fast convergence and high prediction accuracy. Compared with the BP neural network model, the results show that this method avoids the shortcomings of local minimum and slow convergence of the BP neural network, and is superior to the BP neural network in terms of accuracy and training speed.