摘要
对变形体进行变形监测,可以避免诸多灾害的发生,为此国内外研究人员对预测模型领域进行了深入研究,如灰色系统、BP神经网络等模型。不同模型的研究角度不同,有不同的适应情况,而灰色系统模型拥有在贫信息的情况下进行建模的独特优势,故而广泛应用于变形监测中。本篇文章介绍了灰色系统模型,以及进一步考虑数据对模型内部参数的影响,加入权值思想,从而获得加权灰色系统模型,并与基本灰色系统模型进行比较。最后将改进的灰色系统模型应用于实际沉降预测中。
Deformation monitoring of deformed bodies can avoid many disasters. For this reason, researchers at home and abroad have conducted in-depth research on the field of predictive models, such as gray systems and BP neural networks. Different models have different research angles and different adaptation situations, while the gray system model has the unique advantage of modeling in the case of poor information, so it is widely used in deformation monitoring. This article introduces the gray system model, and further considers the influence of data on the internal parameters of the model, and adds the weight idea to obtain the weighted gray system model and compare it with the basic gray system model. Finally, the improved grey system model is applied to the actual settlement prediction.
作者
李路
洪友堂
马晓峰
汪文武
LI Lu;HONG Youtang;MA Xiaofeng;WANG Wenwu(School of Land Science and Technology, China University of Geosciences(Beijing), Beijing 100083, China)
出处
《北京测绘》
2019年第7期754-758,共5页
Beijing Surveying and Mapping
关键词
变形监测
沉降预测
灰色系统模型
加权灰色系统模型
deformation monitoring
settlement prediction
grey system model
weighted grey system model
作者简介
李路(1996-),男,陕西澄城人,硕士在读,研究方向为工程测量。E-mail:18813180275@163.com;通讯作者:洪友堂,E-mail:hongyoutang@163.com.
