西安理工大学学报2016，Vol.32Issue(4)：475-480,6.DOI:10.19322/j.cnki.issn.1006-4710.2016.04.017
改进BP神经网络算法在中小流域洪水预报中的应用研究
Application of improved BP neural network algorithm in flood forecasting in the middle and small watershed
摘要
Abstract
Dingan river watershed,one of the primary tributary of Wanquan River and located at the cen-tral part of Hainan Province,is a typical middle and small watershed.Aiming at solving the problems of prediction results unsmooth and in risk presenting outliers when using BP neural network flood forecas-ting,the multi-time synthesis algorithm and smoothing algorithm are proposed considering the character-istics of hydrological processes.Selecting the Dingan River watershed of Hainan province as the study ar-ea and adopting multiplayer feed-forward BP neural network are to build several different plans for com-parison and analysis.The results show that the proposed method can be used to compensate for the defi-ciency of the original algorithm in improving the accuracy of flood forecasting ,with a good practical val-ue as a useful reference for the traditional forecasting methods.关键词
洪水预报/BP神经网络/模型改进/定安河流域Key words
flood forecasting/BP neural network/model improvement/Dingan River watershed分类
天文与地球科学引用本文复制引用
王建金,石朋,瞿思敏,肖紫薇,戴韵秋,陈颖冰,陈星宇..改进BP神经网络算法在中小流域洪水预报中的应用研究[J].西安理工大学学报,2016,32(4):475-480,6.基金项目
国家自然科学基金资助项目（51479062，41371048）；中央高校基本科研业务费专项资金资助项目 （）
