This article discusses the different principles between GM(1,1)model and GM(1,1)model with linear regression. Which has been used GM(1,1)combined with linear regression model of Guangzhou city community 1# building(CJ1)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.%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。
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