The research of tailings pond deformation displacement prediction based on Wavelet neural network

摘要：

　　In order to ensure the safe operation of the tailings pond,and control the occurrences of mine accidents,Strengthening the security research and Establish forecasting model are important.This paper takes dam deformation as the research key,takes the online monitoring as row data,and takes deformation factors as the main line,then uses the method of wavelet neural network,finally establish the prediction model and then analyze.The result shows that this method avoids the concrete form of knowledge representation and has the great nonlinear function approaching capability.

关键词： tailings pond Dam deformation Wavelet neural network prediction

作者: Ping-ping Liu Yingjun Hao

作者单位: School of Computer Science and Engineering, Xian Technological University,Xian, Shanxi, 710032, China

会议类型: 国际会议

会议名称: 3rd International Conference on Frontiers of Manufacturing and Design Science(第三届制造与设计科学前沿国际会议(ICFMD))

会议地点: 香港

会议语种:英文

页码: 1726-1730

在线出版日期: 2012-12-11（万方平台首次上网日期，不代表论文的发表时间）