BP Artificial Neural Network Study on Slop Stability

Abstract:

Based on the introduction of Artificial Neural Network principle and analyzing steps, a neural network for slop stability prediction is built in this paper. Intrinsic factors and external factors of slop stability are considered in the network, through building, training and testing the BP network model, we can see that the BP network model can analyze and determine the stability of slop; the forecasting accuracy is high and we can use it as the decision basis of slop stability analysis.

• Periodical: Applied Mechanics and Materials (Volumes 170-173)
• Pages: 1243-1246
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.170-173.1243
• Online since: May 2012
• Authors: Bao Jian Zhang, Guang Qing Yang, Bao Lin Xiong
• Keywords: BP Neural Network (BPNN), Influence Factor, Slop Stability

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