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

P. Lu and M. Rosenbaum

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2003, vol. 30, issue 3, 383-398

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. Copyright Kluwer Academic Publishers 2003

Keywords: landslide; slope stability; geohazards; artificial neural networks; grey systems (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (20)

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DOI: 10.1023/B:NHAZ.0000007168.00673.27

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