The Application of BP-Neural Networks to the Interpolation of Missing Hydrological Data

摘要：

The elevation of hydrologic station is the key point of hydrological analysis.This paper will adopt BPNeural Networks to set up a model of interpolation about the missing elevation data of hydrologic station.The data set of hydrologic station is about drainage area in the middle and lower reaches of Yellow river, or in some branches of Yellow river such as wei river and jing river.The result of training shows, when we choose a data set that position of longitude and altitude is close by the missing data, or we choose a data set in the same river, accuracy of prediction that using this model is good.

关键词： BP-Neural Networks Interpolation of missing data The elevation of hydrologic station

作者: LI Ning HAN Yarning

作者单位: Information Management College ,Shanxi University of Finance & Economics,Taiyuan Shanxi 030006, P.R. Business Management College, Xian University of Technology, Xian Shanxi 710048, P.R.China

会议类型: 国际会议

会议名称: The 5th International Conference on Management Technology(2010年第五届太原技术管理国际研讨会)

会议地点: 太原

会议语种:英文

页码: 545-549

在线出版日期: 2010-08-20（万方平台首次上网日期，不代表论文的发表时间）