Paper Title:
Analysis of Landslide Stability Based on Neural Network
  Abstract

A nonlinear method was applied in the stability study of landslides due to the highly nonlinear feature of landslides stability. Based on the data collected as research samples, we selected six influence factors as the indicators of slope stability, including the average slope, slope of the invading front, sliding surface slope, the maximum annual average daily rainfall, the recent slide situation and human engineering activities. Through the comprehensive analysis of landslides stability with BP neural network method, we established a novel nonlinear analysis model. And from the work we may conclude that the landslide stability analysis model is of profound technical meaning with accuracy over 95%.

  Info
Periodical
Advanced Materials Research (Volumes 374-377)
Chapter
Chapter 10: Innovative Structures: Technologies and Applications
Edited by
Hui Li, Yan Feng Liu, Ming Guo, Rui Zhang and Jing Du
Pages
2346-2351
DOI
10.4028/www.scientific.net/AMR.374-377.2346
Citation
J. C. Li, P. L. Li, "Analysis of Landslide Stability Based on Neural Network", Advanced Materials Research, Vols. 374-377, pp. 2346-2351, 2012
Online since
October 2011
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Price
$32.00
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