Determination of stability of slope using Minimax Probability Machine

被引：10

作者：

Samui, Pijush ^{[1
]}

Hariharan, Rajadurai ^{[2
]}

Karthikeyan, Jayaraman ^{[3
]}

机构：

[1] VIT Univ, Ctr Disaster Mitigat & Management, Vellore, Tamil Nadu, India

[2] Annai Mira Coll Engn & Technol, Dept Comp Sci, Vellore, Tamil Nadu, India

[3] VIT Univ, Sch Informat Technol & Engn, Vellore, Tamil Nadu, India

来源：

GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS | 2014年 / 8卷 / 02期

关键词：

minimax probability machine; slope stability; artificial neural network; factor of safety;

D O I：

10.1080/17499518.2014.897488

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

This article examines the capability of Minimax Probability Machine (MPM) for the determination of stability of slope. MPM is constructed within a probabilistic framework. This study uses MPM as classification and regression tools. Unit weight (gamma), cohesion (c), angle of internal friction (phi), slope angle (beta), height (H) and pore water pressure coefficient (r(u)) have been used as inputs of the MPM model. The outputs of MPM are stability status of slope and factor of safety (F). The results of MPM have been compared with the artificial neural network models. The experimental results demonstrate that the developed MPM is a promising tool for the determination of stability of slope.

引用

页码：147 / 151

页数：5

共 30 条

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