Multivariate Grey Prediction Model with Priority Accumulation of New Information

Lanxi Zhang

doi:10.1051/e3sconf/202124802009

Abstract

According to the new information priority principle of grey system, this paper tries to optimize the traditional multivariate grey prediction model. Firstly, the basic theory of the traditional grey prediction model is put forward. Based on this, the background value is improved by using the new information priority principle, and the cumulative generation with parameters is defined. Taking the settlement trend of A4# building of an engineering project in Anhui province as an example, the model is applied to the settlement analysis, and the proposed model is compared with the existing grey prediction model, the average percentage absolute error between the predicted value and the observed value is calculated, and the regression graphs of each model are drawn. Through the analysis, we can see that the established model has achieved a good effect, and then verified the practicability and reliability of the proposed model.

Highlights

With the continuous development of China, China's industrial and civil construction industry has made great progress, a variety of complex and large engineering buildings are increasing
The construction of the engineering building changes the original state of the ground and exerts a certain pressure on the foundation of the building, which causes the deformation of the foundation and surrounding stratum
In order to ensure the safe use of the building and provide data for the future reasonable design, the building settlement should be observed during the construction process and after the building is put into operation

Summary

Introduction

With the continuous development of China, China's industrial and civil construction industry has made great progress, a variety of complex and large engineering buildings are increasing. The univariate grey prediction model is represented by GM(1,1), whose modeling object is only one time series data. It mainly mines the system operation law contained in the time series data through the grey generation method, and realizes the prediction of the system development trend. Grey prediction model has been widely used in fields such as urban environment, traffic management, energy analysis.[5,6,7]. It can be seen from the above literatures that there are still defects in multivariate gray prediction. This paper combines the traditional multivariate gray prediction with the new information priority in the axiom of gray system, defines the accumulation generation with parameter form, and establishes a multivariate gray prediction model with new information priority accumulation

Traditional multivariate grey prediction model

The observed data

Conclusion