首页 | 本学科首页   官方微博 | 高级检索  
     

泾河年径流量BP神经网络模型研究
引用本文:王峥,马孝义,吕静渭,尹京川,胡杰华.泾河年径流量BP神经网络模型研究[J].人民黄河,2012,34(4):26-29.
作者姓名:王峥  马孝义  吕静渭  尹京川  胡杰华
作者单位:1. 西北农林科技大学旱区农业水土工程教育部重点实验室,陕西杨凌,712100
2. 甘肃省水利厅水利工程建设质量与安全管理中心,甘肃兰州,730030
基金项目:国家“863”计划项目(2011AA100509);“十二五”国家科技支撑计划项目(2011BAD25B03,2012BAD08B01)
摘    要:以1957—2000年的实测降水序列和泾河年径流量序列为研究对象,利用EMD法和GA建立了泾河年径流量的BP神经网络模型。分析结果表明:泾河流域年降水量变化可能存在准2~3、5~7、10~13、18~22 a的周期;基于EMD的年径流量BP神经网络模型预测值的相对误差为-4.71%~8.21%,基于GA的年径流量BP神经网络模型预测值的相对误差为2.25%~12.22%。

关 键 词:EMD  GA  BP神经网络  年径流量  泾河

Research on BP Neural Network Model for Runoff in Jinghe River Basin
WANG Zheng , MA Xiao-yi , LV Jing-wei , YIN Jing-chuan , HU Jie-hua.Research on BP Neural Network Model for Runoff in Jinghe River Basin[J].Yellow River,2012,34(4):26-29.
Authors:WANG Zheng  MA Xiao-yi  LV Jing-wei  YIN Jing-chuan  HU Jie-hua
Affiliation:1(1.Key Laboratory for Agricultural Soil and Water Engineering in Arid Area of Ministry of Education,Northwest A& F University,Yangling 712100,China;2.Managing Center of Hydraulic Engineering Quality and Security,Water Conservancy Department of Gansu Province,Lanzhou 730030,China)
Abstract:An annual precipitation-runoff forecasting BP neural network model based on EMD and GA was established,which using the rainfall data from 1957 to 2000 of 4 typical hydrologic stations in Jinghe River basin and the annual runoff as a research object.The results show that the precipitation series has periods that about 2-3,5-7,10-13 and 18-22 years.And using the BP neural network model based on EMD to predict annual runoff,the relative error of predictive value between 4.71% and 8.21%,while using BP neural network model based on genetic algorithm,the relative error of predictive value between 2.25% and 12.22%.
Keywords:EMD  GA  BP neural network  annual runoff  Jinghe River
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号