Discontinuties accurate classification in rock masses in the analysis and design of rock structures on the surface plays a role. Discontinuties traditional classification based on surface density determines the distribution pole is Astryvnt discontinuties screen. Use different methods to determine the surface density, will lead to different results. In order to document categorization discontinuties combine AI techniques with probabilistic methods are used. Advantages of this method to determine the exact number of categories of discontinuity and discontinuities determined to belong to any particular category and that it is independent of the distribution of data.
Aflaki, E., & Hashemi, S. (2008). Category Napyvstgyhay in Tvdhsng using probability neural network competitive framework. Sharif Journal of Mechanical Engineering, 24(42), 21-25.
MLA
E. Aflaki; S. Hashemi. "Category Napyvstgyhay in Tvdhsng using probability neural network competitive framework". Sharif Journal of Mechanical Engineering, 24, 42, 2008, 21-25.
HARVARD
Aflaki, E., Hashemi, S. (2008). 'Category Napyvstgyhay in Tvdhsng using probability neural network competitive framework', Sharif Journal of Mechanical Engineering, 24(42), pp. 21-25.
VANCOUVER
Aflaki, E., Hashemi, S. Category Napyvstgyhay in Tvdhsng using probability neural network competitive framework. Sharif Journal of Mechanical Engineering, 2008; 24(42): 21-25.
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