Title :
Artificial Neural Network´s Application in Intelligent Slop Stability Analysis
Author :
Chen Haiming ; Zhou Shengquan ; Yu Jun
Author_Institution :
Sch. of Civil Eng. & Archit., Anhui Univ. of Sci. & Technol., Huainan, China
Abstract :
The slope stability´s influencing factors are complex and there are stochastic and fuzzy properties in them, which have brought many difficulties to the slop stability analysis. The traditional methods are inadequate when they are used to carry on slope stability analysis. In this paper, the intelligent slope stability analysis method has been established and can be used to solve these problems. Practices show that the accuracy of the method can meet the engineering application requirements, has a few features, such as, with high efficiency, use of convenience, suitable for engineering applications, and so on, and have certain engineering and technical value.
Keywords :
engineering computing; fuzzy set theory; neural nets; stability; stochastic processes; artificial neural network; engineering applications; fuzzy property; intelligent slope stability analysis; stochastic property; Artificial intelligence; Artificial neural networks; Electronic mail; Geology; Intelligent networks; Neural networks; Power engineering and energy; Railway engineering; Stability analysis; Terrain factors; Artificial neural network; Intelligent analysis; Slop stability;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.81
