Analysis of Landslide Stability Based on Neural Network

Abstract:

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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)

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 and 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:

$35.00

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