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A platform for research: civil engineering, architecture and urbanism
Sensitivity Analysis of Slope Stability Influence Factors Based on BP Neural Network
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.
Sensitivity Analysis of Slope Stability Influence Factors Based on BP Neural Network
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.
Sensitivity Analysis of Slope Stability Influence Factors Based on BP Neural Network
Advanced Materials Research ; 1010-1012 ; 1544-1547
2014-08-13
4 pages
Article (Journal)
Electronic Resource
English
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