scholarly journals Stability prediction of Himalayan residual soil slope using artificial neural network

2020 ◽  
Vol 103 (3) ◽  
pp. 3523-3540 ◽  
Author(s):  
Arunava Ray ◽  
Vikash Kumar ◽  
Amit Kumar ◽  
Rajesh Rai ◽  
Manoj Khandelwal ◽  
...  
2012 ◽  
Vol 170-173 ◽  
pp. 1243-1246
Author(s):  
Bao Jian Zhang ◽  
Guang Qing Yang ◽  
Bao Lin Xiong

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.


2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  

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