Sensitivity Analysis of Slope Stability Influence Factors Based on BP Neural Network

Abstract:

There are many factors which influence the slope stability. In order to analyze the degree of importance of each influence factor on slope stability, this paper establishes a slope stability analysis model based on BP neural network. The computation results showed that the model was reasonable and reliable. On this basis, the sensitivity of various influence factors to slope stability was analyzed by single-factor test, which were internal friction angle of rock, bulk density, pore pressure coefficient, slope angle, rock cohesion and slope height in a descending order of sensitivity.

• Periodical: Advanced Materials Research (Volumes 1010-1012)
• Pages: 1544-1547
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.1544
• Online since: August 2014
• Authors: Chuang Ye Wang, Fei Zhang, Wan Dong Han
• Keywords: BP Neural Network (BPNN), Factor, Sensitivity Analysis, Slope Stability

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