Artificial neural networks and Grey Systems for the prediction of slope stability

被引：181
|
作者：
Lu, P [1 ]
Rosenbaum, MS [1 ]
机构：
[1] Nottingham Trent Univ, Civil Engn Div, Geohazards Grp, Nottingham NG1 4BU, England
来源：
NATURAL HAZARDS | 2003年 / 30卷 / 03期
关键词：
landslide; slope stability; geohazards; artificial neural networks; Grey Systems;
D O I：
10.1023/B:NHAZ.0000007168.00673.27
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The interactions between factors that affect slope instability are complex, multi- factorial, and often difficult to describe mathematically, imposing a challenge for prediction using traditional methods. The power of the ANN and Grey Systems approaches lies in employing the behaviour of the system rather than knowledge of explicit relations. Published data has been used to illustrate the application of these techniques to predicting the state of slope stability. This has been developed into a tool for analysing and predicting future ground movement based on geotechnical properties and historical behaviour.
引用
收藏
页码：383 / 398
页数：16
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