Title :
A neural network application in predicting slope stability
Author_Institution :
Wuwei Occupational Coll., Wuwei, China
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;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5778379
