Computer Science – Artificial Intelligence
Scientific paper
2009-09-12
Computer Science
Artificial Intelligence
10th. International Symposium on Landslides and Engineering and. Engineered Slopes, Xi'an, China
Scientific paper
This paper describes application of information granulation theory, on the back analysis of Jeffrey mine southeast wall Quebec. In this manner, using a combining of Self Organizing Map (SOM) and rough set theory (RST), crisp and rough granules are obtained. Balancing of crisp granules and sub rough granules is rendered in close-open iteration. Combining of hard and soft computing, namely finite difference method (FDM) and computational intelligence and taking in to account missing information are two main benefits of the proposed method. As a practical example, reverse analysis on the failure of the southeast wall Jeffrey mine is accomplished.
Aghababaei H.
Owladeghaffari Hamed
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