Construction and Application of Unequal Interval GM (1,1)Prediction Model Based on Multilevel Residual Amendment
Prediction for slope displacement can prevent the occurrence of slope disasters effectively. Original grey GM(1,1) model is usually used in simulation and prediction of equidistant monitoring data sequence, but the actual situation is the monitoring data which obtained appear unequal interval phenomenon. So, unequal interval grey GM(1,1) model is established after analyzing the establishing principal of original equal interval GM(1,1) model, and the method for calculating the grey parameter is discussed. At last, the improved model is applied for analyzing the B3 monitoring data of a slope of the YU-QIAN highway. By comparing the improved method for grey parameter calculation with the conventional method, it is proved that the modified GM(1,1) model has high accuracy and the prediction results agrees well with the actual behavior of the slope.
LI Kegang
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
471-475
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）