摘要
黄河内蒙古段地处黄河流域最北端,由于它的特殊地理位置、水文气象条件、河道特性,几乎每年产生凌汛。在分析影响凌汛成因因素的基础上,选取合适的预报因子,基于模糊识别人工神经网络BP模型,提出冰凌预报方法,应用于黄河内蒙段封河、开河日期的预报。结果表明,计算简便,精度良好。
Inner Mongolia reach lies in the top north of the Yellow River. Every year ice flood is coming for its special geographical position, hydro-meteorological condition and river course characteristics. Based on the analysis and choosing of factors, a fuzzy recognition neural network BP approach is proposed. It is applied to forecast the freeze-up and break-up date in the Inner Mongolia reach of the Yellow River. The results show that the accuracy is high and the procedure of calculation is simple.
出处
《水力发电》
北大核心
2008年第11期24-26,共3页
Water Power
基金
国家自然科学基金项目(59979008)
关键词
冰凌预报
相对优属度
模糊识别
神经网络
ice forecasting
relative membership degree
fuzzy recognition
neural network
