摘要
本文提出汛期降水预报的人工神经网络方法，并选择一组标样进行了具体分析，预报成功率达100％，结果表明，该方法性能良好，可望成为汛期降水预报的有效手段。
The artificaial neural network method for the forecast of rainfall during flood seasons is presented in this paper,and a group of samples has been collected to analysed. The successful rate reached 100%. The Tesults show that the performance of the artificaial neural network approach is good,and therefore it might be referred as an effective method for the forecast of rainfall during flood seasons.
出处
《气象科学》
CSCD
北大核心
1994年第4期386-389,共4页
Journal of the Meteorological Sciences
关键词
汛期
降水量
人工神经网络
降水预报
Rainfall during Flood Seasons
Artificial Neural Network, Back-propagation Model
