Study on tunnel settlement prediction method based on parallel grey neural network model

被引：1
|
作者：
Zhu, Lei [1 ]
Huang, Teng [1 ]
Shen, Yue-qian [1 ]
Zeng, Xian-min [1 ]
机构：
[1] Hohai Univ, Sch Earth Sci & Engn, 1 Xikang Rd, Nanjing 210098, Jiangsu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT EARTH OBSERVING AND APPLICATIONS 2015 | 2015年 / 9808卷
关键词：
Tunnel settlement; grey model; neural network model; prediction;
D O I：
10.1117/12.2207838
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
In this paper, according to the characteristics of the grey forecast method and the neural network, constructed the parallel grey neural network model(PGNN) and apply to forecast a tunnel monitoring point's settlement displacement data based on Nanjing metro. The results showed that the prediction accuracy of PGNN is significantly higher than that of unitary grey and neural forecast method. proves that the effectiveness of PGNN in the tunnel settlement prediction.
引用
收藏
页数：7
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