DocumentCode
3294454
Title
A neural network application in predicting slope stability
Author
Ming, Zhao
Author_Institution
Wuwei Occupational Coll., Wuwei, China
fYear
2011
fDate
15-17 April 2011
Firstpage
5635
Lastpage
5638
Abstract
Recently the earthquake occurs frequently and caused great loss and damage including the slope, the slope stability is very important for the people in the location, its failure will cause a large accident making a numerous loss for the people and society. The paper presents a Neural Network system predicting slope stability and utilizes the characteristics of an artificial intelligence approach and chooses some reasonable case to train and test in the system. As a result, it shows that the Neural Network system presented can be applied in the practical engineer and its accurate can be satisfied for the practical engineer.
Keywords
geotechnical engineering; mechanical engineering computing; mechanical stability; neural nets; accident; artificial intelligence; earthquake; neural network; slope stability prediction; Analytical models; Artificial neural networks; Calibration; Smoothing methods; Soil; Stability analysis; Training; earthquake; neural network; slope stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778379
Filename
5778379
Link To Document