Application of Combination Model Based on Grey Verhulst-time Series in Settlement Monitoring
Aiming at the low accuracy of the traditional single grey model and time series model in the settlement monitoring data mod-el,this paper adopts the combined optimization model established by the grey Verhulst model and the time series model. Firstly,the basic theory of grey Verhulst model and time series model is expounded;secondly,the grey Verhulst-time series model is established,namely the fitting value of the sample data obtained by the grey Verhulst model is used as the sample value for the prediction of the time series model;finally,taking a building settlement monitoring point as an example to calculate and compare the prediction results of grey Verhulst model,time series model and grey Verhulst-time series model. The experimental results show that the grey Verhulst-time series combined optimization model has the highest prediction accuracy,with a mean square error of 0.3275 mm. It is verified that the grey Verhulst-time series combined optimization model is more suitable for the deformation trend of the building settlement.
grey Verhulst modeltime series modelgrey Verhulst-time series combined optimization modelsettlement prediction
万方数据
维普
