Deformation Forecasting Using a Hybrid Time Series and Neural Network Model

Qiang Wang; Ning Gao; Wen Zhe Jiao; Guan Jie Wang

doi:10.4028/www.scientific.net/AMM.256-259.2343

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Quality Evaluation of Remote Sensing Mapping for Land Cover Based on Cartographic Specifications
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 256-259Deformation Forecasting Using a Hybrid Time Series...

Deformation Forecasting Using a Hybrid Time Series and Neural Network Model

Abstract:

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.