基于灰色关联GM(1,N)-Markov修正模型的应用

Application of GM(1,N)-Markov Correction Model Based on Grey Correlation

针对变形系统中多变量之间相互作用影响,传统GM(1,1)模型难以体现沉降变化趋势的问题.该文提出基于灰色关联分析的GM(1,N)模型对数据分析处理,并利用Markov模型修正残差序列,提高预测精度。通过实际工程应用表明:灰色关联GM(1,N)- Markov模型的预测精度高,结果更为可靠,在实际工程沉降分析预测中具有可行性。

In order to solve the problem that the traditional GM (1,1) model is difficult to reflect the trend of settlement change due to the interaction of multi-variables in deformation system,the GM ( 1 ,N) model based on grey correlation analysis is proposed for data analysis and processing, and the Markov model is used to modify the residual sequence to improve the prediction accuracy. The practical engineering application shows that the grey correlation GM ( 1 , N)? Markov model has high prediction accuracy and more reliable results,and it is feasible in the actual engineering settlement analysis and prediction.