Title :
Slope stability prediction model based on GA-SVM
Author :
Xing, Yan ; Wang, Jiehao ; Li, Xiru ; Liu, Ruixue ; Gao, Juan
Author_Institution :
Sch. of Mech. & Civil Eng., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
This paper puts forward the slope stability prediction model based on GA-SVM. Firstly, we search for the parameters of Support Vector Machine by using the strong optimization function of GA. Then we establish the prediction model by using the SVM´s excellent characteristics, which are easy to describe nonlinear and so on. Example proves that the prediction effect is ideal. It is a slope stability model which is simple, effective and easy to extend.
Keywords :
genetic algorithms; geotechnical engineering; structural engineering computing; support vector machines; GA-SVM; optimization function; prediction model; slope stability prediction model; support vector machine; Algorithm design and analysis; Optimization; Predictive models; Stability analysis; GA; SVM; parameter optimization; slope stability prediction;
Conference_Titel :
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8033-3
Electronic_ISBN :
978-1-4244-8035-7
DOI :
10.1109/ICEIT.2010.5608445
