Application of Volterra Series Chaos Adaptive Model in Deformation Analysis
According to the characteristics of chaotic time series of deformation monitoring data, a deformation prediction model of cha-otic time series based on Volterra series is proposed. After phase space reconstruction, the suitable embedding dimension and delay time are determined, and the adaptive prediction model of Volterra series is input, then the prediction value of deformation quantity is obtained. By comparing the predicted value with the actual value and the prediction results of other prediction models, it is found that the chaotic time series prediction model based on Volterra series has higher accuracy and is feasible in deformation prediction.
Volterra serieschaotic time seriesdeformation prediction
万方数据
维普
