Reliability Analysis of Slope Using MPMR, GRNN and GPR

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Author(s): Dhivya Subburaman (VIT University, India), Jagan J. (VIT University, India), Yıldırım Dalkiliç (Erzincan University, Turkey)and Pijush Samui (National Institute of Technology Patna, India)
Copyright: 2016
Pages: 17
Source title: Handbook of Research on Computational Simulation and Modeling in Engineering
Source Author(s)/Editor(s): Francisco Miranda (Instituto Politécnico de Viana do Castelo and CIDMA of University of Aveiro, Portugal)and Carlos Abreu (Instituto Politécnico de Viana do Castelo, Portugal)
DOI: 10.4018/978-1-4666-8823-0.ch007

Keywords: Computer Science & IT / Computer Simulation / Engineering Science / Engineering Science Reference

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Abstract

First Order Second Moment Method (FOSM) is generally for determination of reliability of slope. This article adopts Minimax Probability Machine Regression (MPMR), Generalized Regression Neural Network (GRNN) and Gaussian Process Regression (GPR) for reliability analysis of slope by using FOSM. In this study, an example of soil slope is given regarding how the proposed GPR-based FOSM, MPMR-based FOSM and GRNN-based FOSM analysis can be carried out. GPR, GRNN and MPMR have been used as regression techniques. A comparative study has been carried out between the developed GPR, MPMR and GRNN models. The results show that MPMR gives better performance than the other models.

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Reliability Analysis of Slope Using MPMR, GRNN and GPR

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