Natural Hazards

, Volume 30, Issue 3, pp 383–398

Artificial Neural Networks and Grey Systems for the Prediction of Slope Stability

Authors

  • P. Lu
    • Geohazards Group, Civil Engineering DivisionNottingham Trent University
  • M. S. Rosenbaum
    • Geohazards Group, Civil Engineering DivisionNottingham Trent University
Article

DOI: 10.1023/B:NHAZ.0000007168.00673.27

Cite this article as:
Lu, P. & Rosenbaum, M.S. Natural Hazards (2003) 30: 383. doi:10.1023/B:NHAZ.0000007168.00673.27

Abstract

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.

landslideslope stabilitygeohazardsartificial neural networksgrey systems
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© Kluwer Academic Publishers 2003