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- W2360698622 abstract "A BP artifical neural networks model was established using slope height and angle, rock gravity?density, cohesion and internal friction angle as input variables. The model is used for stability evaluation of Yudonghe Landslide. By means of the optimization of trainning parameters, e.g., the learing ratio being 0.9 , the learing step being 0.7 ,after 12 589 times trainning the samples approached to convergence. The linking weights and threshod values were determined to recognize mode shape, and then the calculation of the slop state and stability coefficients was completed. The calculated results show that the Yudonghe landslide is in danger state and its stability coefficient only 1.100 5" @default.
- W2360698622 created "2016-06-24" @default.
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- W2360698622 date "2002-01-01" @default.
- W2360698622 modified "2023-09-22" @default.
- W2360698622 title "Application of BP artificial neural networks on stability evaluation of Yudonghe landslide" @default.
- W2360698622 hasPublicationYear "2002" @default.
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