山东理工大学学报（自然科学版）2016，Vol.30Issue(4)：49-52,4.
基于BP神经网络对七里街测站洪峰的预报与分析
The analysis and forecast of flood crest in Qilij ie Station based on the BP neural network
摘要
Abstract
According to the recursion in different section of time,and the monitoring data of wa-ter level in three hydrological sites including the east reach of Jianxi,Shuiji,and Jianyang,we find that the optimal node number of hidden layer of BP neural network is 10 through complex calculation,and establish a mathematical model to forecast the water level in Qilij ie Station using the BP neural network.On this basis,we can amend the forecast results with recursion in differ-ent section of time.The caculation results show that this method improves the forecast accuracy. It can be pointed out through calculation that the correction method of recursion in different sec-tion of time is a better choice due to the coincidence between results and facts.关键词
BP神经网络/洪峰预报/隐含层节点/误差修正Key words
BP neural network/flood crest forecast/hidden layer node/error correction分类
天文与地球科学引用本文复制引用
肖恭伟,刘国林,曹淑敏,孙志阳..基于BP神经网络对七里街测站洪峰的预报与分析[J].山东理工大学学报（自然科学版）,2016,30(4):49-52,4.基金项目
山东省自然科学基金项目(ZK2012DM001) （ZK2012DM001）
