DocumentCode :
1896173
Title :
Artificial Neural Network´s Application in Intelligent Prediction of Surface Settlement Induced by Foundation Pit Excavation
Author :
Yu Jun ; Chen Haiming
Author_Institution :
Sch. of Civil Eng. & Archit., Central Sounth Univ., Changsha, China
Volume :
1
fYear :
2009
fDate :
10-11 Oct. 2009
Firstpage :
303
Lastpage :
305
Abstract :
Surface settlement will take place while foundation pit building and it is one of important problems in foundation pit engineering. The influencing factors are complex and there are stochastic and fuzzy properties in them, which have brought difficulties to the ground settlement predication. The traditional methods are inadequate when they are used to analyze and predict the surface settlement. In this paper, the authors established an intelligent ground settlement analysis method and solved these problems. Practices show that the accuracy of the method can meet the application requirements, with some merits, such as, high efficiency, use of convenience, suitable for engineering applications, and so on, so the research results have certain engineering and technical value.
Keywords :
excavators; foundations; geotechnical engineering; neural nets; artificial neural network; foundation pit building; foundation pit engineering; foundation pit excavation; intelligent ground settlement analysis; intelligent prediction; surface settlement; Artificial intelligence; Artificial neural networks; Civil engineering; Computer architecture; Educational technology; Electronic mail; Intelligent networks; Intelligent structures; Intelligent systems; Surface fitting; artificial neural network; foundation pit; ground settlement; intelligent analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
Type :
conf
DOI :
10.1109/ICICTA.2009.80
Filename :
5287650
Link To Document :
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