安徽农业科学2011，Vol.39Issue(24)：15161-15163,15167,4.
基于BP神经网络的闽江上游洪水预报
Flood Forecast of Upriver Minjiang District Based on BP Neural Network
摘要
Abstract
Flood forecast is one of different problems in hydrologic research, especially in river with several tributaries. With VB 6.0 software , the BP algorithm ( BP for short) of Artificial Neural Network was programmed and the BP flood forecast - model was established for up-river Minjiang district. Through tested, the forecast accuracy is high comparatively with satisfying result. It is shown that simulated stream-flow compares well with the observed data. This provides a new method for flood forecast and flood regulation for Minjiang watershed.关键词
BP神经网络:洪水演进/洪水预报Key words
BP neural network/ Flood routing/ Flood forecast分类
建筑与水利引用本文复制引用
袁健,陈丽侠,耿宝江..基于BP神经网络的闽江上游洪水预报[J].安徽农业科学,2011,39(24):15161-15163,15167,4.基金项目
河北省邯郸市自然科学基金资助项目(0821140084-3) （0821140084-3）
河北省水利厅水利科研与推广资助计划(2008036). （2008036）
