کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
303809 512754 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Utilization of a least square support vector machine (LSSVM) for slope stability analysis
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
پیش نمایش صفحه اول مقاله
Utilization of a least square support vector machine (LSSVM) for slope stability analysis
چکیده انگلیسی

This paper examines the capability of a least square support vector machine (LSSVM) model for slope stability analysis. LSSVM is firmly based on the theory of statistical learning, using regression and classification techniques. The Factor of Safety (FS) of the slope has been modelled as a regression problem, whereas the stability status (s) of the slope has been modelled as a classification problem. Input parameters of LSSSVM are: unit weight (γ)(γ), cohesion (c)(c), angle of internal friction (ϕ)(ϕ), slope angle (β)(β), height (H)(H) and pore water pressure coefficient (ruru). The developed LSSVM also gives a probabilistic output. Equations have also been developed for the slope stability analysis. A comparative study has been carried out between the developed LSSVM and an artificial neural network (ANN). This study shows that the developed LSSVM is a robust model for slope stability analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Scientia Iranica - Volume 18, Issue 1, February 2011, Pages 53–58
نویسندگان
, ,