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Abstract: This paper describes application of information granulation theory, on theback analysis of Jeffrey mine southeast wall Quebec. In this manner, using acombining of Self Organizing Map SOM and rough set theory RST, crisp andrough granules are obtained. Balancing of crisp granules and sub rough granulesis rendered in close-open iteration. Combining of hard and soft computing,namely finite difference method FDM and computational intelligence and takingin to account missing information are two main benefits of the proposed method.As a practical example, reverse analysis on the failure of the southeast wallJeffrey mine is accomplished.



Autor: H. Owladeghaffari, H. Aghababaei

Fuente: https://arxiv.org/







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