摘要
从GM(1,1)模型原理和GM(1,1)与线性回归组合模型原理的不同之处开始讨论,利用GM(1,1)与线性回归组合模型对广州市某小区1#楼一个沉降监测点(CJ1)进行了分析和预测,分析和预测的结果验证了GM(1,1)与线性回归组合模型在建筑物沉降变形分析中的实用性、正确性和有效性.最后对组合模型预测精度起决定性作用的灰指数v和参数m进行了分析,给出了求解灰指数v和参数m的最优值算法,应用结果表明,该方法使预测结果更可靠、准确,具有实际的参考价值.
This article discusses the different principles between GM （1, 1 ） model and GM （i, 1 ） model with linear regression. Which has been used GM （1, 1 ） combined with linear regression model of Guangzhou city community 1# building （C J1 ） of a subsidence monitoring point is analyzed and forecasted. The result verifies the combination model in building in the settlement of practicality, accuracy and effectiveness. Finally, the combined model prediction accuracy of grey index v and parameter m decisive role are analyzed, it presents the optimal solution of grey index v and the value of parameter m algorithm, according to the experimental results. The method could make the predicted results are more reliable and accurate, which has practical reference value.
出处
《河南科学》
2015年第3期416-420,共5页
Henan Science
基金
河南省重点科技攻关项目(082102350039)
关键词
GM(1
1)
线性回归
组合模型
灰指数v
参数m
变形分析和预测
GM （ 1, 1 ）
line regression
combination model
gray index v
parameter m
analysis and forecasting of deformation
