APPLICATION OF GM（1, 1）MODEL BASED ON KALMAN FILTER TO
THE SUBSIDING ANALYSIS OF HIGH-SPEED RAILWAY TUNNEL
1）Guangxi Scientific Experiment Center of Mining, Metallurgy and Environment, Guilin 541004
2)College of Surveying,Mapping and Geoinformation, Guilin University of Technology, Guilin 541006
3）Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin 541006
Abstract A new GM(1,1）model to analyze and predict the settlement of tunnel was established, based on Kalman filter. The analysis results of some examples show that the model can be used to eliminate efficiently the random error in original data so that the settlement curve was more smooth and more close to real settlement values than that by GM(1,1）model.
Wen Hongyan,Zhou Lü,Han Yakun et al. APPLICATION OF GM（1, 1）MODEL BASED ON KALMAN FILTER TO
THE SUBSIDING ANALYSIS OF HIGH-SPEED RAILWAY TUNNEL[J]. jgg, 2014, 34(1): 88-91.
Wen Hongyan,Zhou Lü,Han Yakun et al. APPLICATION OF GM（1, 1）MODEL BASED ON KALMAN FILTER TO
THE SUBSIDING ANALYSIS OF HIGH-SPEED RAILWAY TUNNEL[J]. jgg, 2014, 34(1): 88-91.
