Application of nonlinear time series analysis in slope deformation analysis and forecast

摘要：

The slope was a nonlinear dissipative dynamic system,which was controlled by the condition of rock mass and was influenced by the terrain,groundwater,earthquake and human projects.The slope deformation took on nonlinear evolution features.In this paper the method of nonlinear time series analysis was discussed and the real slope displacements were used to forecast the coming deformation.By reconstructing the phase space the attractors can be renew for researching original dynamic system.After analyzing the radial basis function,its network model was build for forecasting the deformation and compared with the BP neural network.The results showed that the radial basis function model had well generalization ability.It was much better than BP network in the convergence speed and the local maxima and had the advantages in accuracy and speed training.

关键词： Nonlinear time series Phase space reconstruction Neural network Radial basis function

作者: Xu Jia Ma Fenghai Yang Fan Ji Huifeng

作者单位: School of Geomatics,Liaoning Technical University,Fuxin 123000 China;Geomatics and Applications Labo Dalian University,Dalian 11662,China School of Geomatics,Liaoning Technical University,Fuxin 123000 China

会议类型: 国际会议

会议名称: The 2007 International Conference on Mine Hazards Prevention and Control(2007矿山灾害预防与控制国际学术会议)

会议地点: 青岛

会议语种:英文

页码: 226-230

在线出版日期: 2007-10-17（万方平台首次上网日期，不代表论文的发表时间）