Forecasting Method of Hulun Lake Water Level Based on Wavelet Analysis and BP Neural Network

摘要：

The water level of Hulun Lake play an important role in the ecological protection and economic development in the Hulunbeier grassland. It can be monitored by satellite altimetry which as an earth observation technique can not only provide the oceanic information, but also monitor the level variations of inland waters. But because of limit of conditions, some altimeter data is lost Wavelet analysis and BP neural network are used to forecast the lost data of lake water level. The forecasting values and observation values are compared. The result shows the method based on wavelet analysis and BP neural network is a better method to forecast water level variations of lake.

关键词： Hulun Lake water level variation altimeter BP neural network wavelet analysis

作者: Shuyan Guo Chunlai Dong

作者单位: College of Mapping Engineering HuaiHai Institute of Technology.HHIT Lianyungang,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 426-429

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）