APPLICATION OF CHAOTIC TIME SERIES-LEAST SQUARE SUPPORT VECTOR MACHINE IN DAMS'''' SAFETY MONITORING PREDICTION
混沌-支持向量机在大坝安全监控预测中的应用

A new model(chaotic time series-least square support) is put forward for solving the problem of medium-long time prediction by use of the dam's nonlinear deformation data affected by the outer factors.Firstly,the nonlinear deformation data's phase space is reconstructed based on the phase space reconstruction theory.Then LSSVM(Least Square Support Vector Machine) is used to model and make the medium-long time prediction from the data in the reconstruction phase space integrated with the outer factors based on the statistics-learning theory.An example testifies the model is effective.