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Reliability Analysis of Slope Using MPMR, GRNN and GPR
Subburaman D, Jagan J, Dalkiliç Y, Samui P.
Published in IGI Global
Pages: 208 - 224
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.
About the journal
JournalAdvances in Systems Analysis, Software Engineering, and High Performance Computing Handbook of Research on Computational Simulation and Modeling in Engineering
PublisherIGI Global
Open Access0