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- W2359506413 abstract "Slope stability estimation is an engineering issue that involves several parameters.The effect is remarkable through the use of computational tools called neural networks,one of which is the back-propagation learning algorithm.The input data for slope stability estimation consist of values of geotechnical and geometrical input parameters.As an output,the network estimates the factor of safety(F.S),or the stability status(S);the circular failure take places mainly on soft slope;and the wedge failure take places mainly rock slope.Comparison between actual values of FS and S and the values predicted from ANN,it was demonstrated that the BP is an ideal method for the slope stability estimation;moreover,the influence degree of different parameters was studied in this paper." @default.
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- W2359506413 date "2007-01-01" @default.
- W2359506413 modified "2023-09-22" @default.
- W2359506413 title "A STUDY OF THE EFFECT FACTOR ON SLOPE STABLILITY" @default.
- W2359506413 hasPublicationYear "2007" @default.
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