摘要
在GM(1,1)模型的基础上,主要研究了改进残差修正模型、灰色BP神经网络模型、灰色线性回归模型在变形数据的预计精度,并且结合实例分析了不同灰色组合模型在滑坡变形预计的精度以及优缺点。
Based on the GM（1,1） model,the prediction accuracy of modified residual error correction model,grey BP neural network model and grey linear regression model are studied,and the accuracy and advantages and disadvantages of different grey combined model in landslide deformation are analyzed with examples.
出处
《测绘与空间地理信息》
2016年第9期210-213,共4页
Geomatics & Spatial Information Technology
关键词
灰色组合模型
变形监测
精度
gray combined model
deformation monitoring
accuracy
