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| 基于模糊识别人工神经网络的冰凌预报模型 | |
| 引用本文： | 冀鸿兰,朝伦巴根,陈守煜.基于模糊识别人工神经网络的冰凌预报模型[J].水力发电,2008,34(11). |
| 作者姓名： | 冀鸿兰 朝伦巴根 陈守煜 |
| 作者单位： | 1. 内蒙古农业大学水利与土木建筑工程学院,内蒙古,呼和浩特,010018;大连理工大学土木水利学院,辽宁,大连,116024 2. 内蒙古农业大学水利与土木建筑工程学院,内蒙古,呼和浩特,010018 3. 大连理工大学土木水利学院,辽宁,大连,116024 |
| 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。 |
| 关 键 词： | 冰凌预报 相对优属度 模糊识别 神经网络 |
Fuzzy Recognition Neural Network Model for Ice Forecasting |
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| Ji Honglan,Chaolun Bagen,Chen Shouyu.Fuzzy Recognition Neural Network Model for Ice Forecasting[J].Water Power,2008,34(11). | |
| Authors: | Ji Honglan Chaolun Bagen Chen Shouyu |
| Affiliation: | Ji Honglan1,2,Chaolun Bagen1,Chen Shouyu2 |
| Abstract: | 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 choos-ing 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 pro-cedure of calculation is simple. |
| Keywords: | ice forecasting relative membership degree fuzzy recognition neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |