摘要
本文研究了利用标准BP网络进行单站降雨预报。结果表明,神经网络在天气预报领域具有广阔的应用前景。文中探讨了神经网络的学习次数、拟合率、预报率三者之间的关系,并提出了进一步提高降雨预报准确率的几点设想。
The application of the standard BP networks to precipitation forecasting is investigated. The results show that the neural networks hold wide prospects in weather forecasting. The relationship among the learn times, fitting rate and forecasting accuracy of the networks is examined, and some proposals to further improve the accuracy of precipitation forecasting are presented.
出处
《计算机应用与软件》
CSCD
2000年第9期64-68,共5页
Computer Applications and Software
关键词
BP网络
降雨预报
拟合率
预报率
BP networks Precipitation forecasting Fitting rate Forecasting accuracy
