Deformation Forecasting Using a Hybrid Time Series and Neural Network Model
Qiang Wang, Ning Gao, Wen Jiao, Guan Jie Wang · Applied Mechanics and Materials · 2012
In order to improve the accuracy and reliability of prediction of deformation monitoring data, a hybrid modeling and forecasting approach based on autoregressive model( AR) and the back-propagation( BP) neural network is proposed to forecast the deformation. The results of experiments show that this method can forecast the deformation precisely, and it is more suitable for those occasions where the deformation monitoring data should meet the high demand.