摘要
运用人工神经网络研究人工增雨的天气条件的识别，并选取一组标样作为研究对象，预测准确率为１００％，结果表明，该方法性能良好，可望成为对人工增雨作业天气条件分析、识别的有效手段。
The artificial neural network is applied to the recognition of weather conditions ofartificial precipitation enhancement in this paper,and a group of samples is collected asan object of the study. The results show that the performance of the neural network ap-proach is good,and therefore it might be referred as an effective technique for the analy-sis and recognition of weather conditions of artificial precipitation enhancement.
出处
《应用气象学报》
CSCD
北大核心
1994年第1期125-128,共4页
Journal of Applied Meteorological Science
关键词
人工降水
神经网络
反向传播模型
Artificial precipitation enhancement
Artificial neural network
Back-propa- gation model.
