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黄河内蒙古段冰情的自适应神经网络预报
引用本文:李凤玲,高瑞忠,冯国华,于海君,冀鸿兰.黄河内蒙古段冰情的自适应神经网络预报[J].人民黄河,2012,34(2):39-41.
作者姓名:李凤玲  高瑞忠  冯国华  于海君  冀鸿兰
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
2. 内蒙古水利厅,内蒙古呼和浩特,010020
3. 内蒙古锡林郭勒盟水文勘测局,内蒙古锡林浩特,026000
基金项目:内蒙古水利厅科技计划项目,水利部公益性行业科研专项,内蒙古自然科学基金资助项目
摘    要:运用数理统计理论的互相关分析方法,对黄河内蒙古段冰情信息时间序列进行分析,筛选出了冰情信息的预报因子,建立了冰情预报的自适应BP神经网络模型。预报结果表明:流凌日期为乙等预报方案,封河日期为甲等预报方案,开河日期为丙等预报方案。

关 键 词:自适应神经网络  冰情预报  内蒙古河段  黄河

Prediction on Ice-Conditions Information in Inner Mongolia Reach of the Yellow River by Auto-Adapted BP Networks
LI Feng-ling , GAO Rui-zhong , FENG Guo-hua , YU Hai-jun , JI Hong-lan.Prediction on Ice-Conditions Information in Inner Mongolia Reach of the Yellow River by Auto-Adapted BP Networks[J].Yellow River,2012,34(2):39-41.
Authors:LI Feng-ling  GAO Rui-zhong  FENG Guo-hua  YU Hai-jun  JI Hong-lan
Affiliation:1(1.College of Hydraulic and Civil Engineering,Inner Mongolia Agricultural University,Huhhot 010018,China; 2.Water Resources Department of Inner Mongolia,Huhhot 010020,China; 3.Hydrological Bureau of Xilin Gol League in Inner Mongolia,Xilinhot 026000,China)
Abstract:The time series of the ice-conditions information in Inner Mongolia Reach of the Yellow River were analyzed by the cross-correlation method in mathematical statistics,so the predicted factors were shifted out to build the adaptive neural network predicting model.The results show that the predicted effects of flowing-ice date,frozen date and breakup date are better,best and qualified.
Keywords:adaptive neural network  ice-conditions prediction  Inner Mongolia Reach  Yellow River
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