Erzincan Binali Yıldırım ÜniversitesiErzincan Binali Yıldırım ÜniversitesiAçık Erişim Arşivi · RDL Open

Reliability analysis of slope using MPMR, GRNN and GPR

Book ChapterAçık Erişim

Özet

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. © 2016 by IGI Global. All rights reserved.

Anahtar Kelimeler

Method of momentsNeural networksRegression analysisReliabilityComparative studiesFirst order second moment methodGaussian process regressionGeneralized Regression Neural Network(GRNN)Minimax probability machineRegression techniquesSoil slopesReliability analysis
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/15486Resmi atıflarda kullanılan kalıcı adres
Tam Kayıt
AlanDeğerDil
dc.contributor.authorSubburaman, Dhivya
dc.contributor.authorJagan, J.
dc.contributor.authorDalkiliç, Yildirim
dc.contributor.authorSamui, Pijush
dc.date.accessioned2026-10-18T20:30:19.678505082Z
dc.date.available2026-10-18T20:30:19.678505082Z
dc.date.issued2015
dc.description.abstractFirst 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. © 2016 by IGI Global. All rights reserved.
dc.identifier.doi10.4018/978-1-4666-8823-0.ch007
dc.identifier.endpage224
dc.identifier.isbn978-146668824-7; 1466688238; 978-146668823-0
dc.identifier.scopus2-s2.0-84958117478
dc.identifier.startpage208
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/15486
dc.language.isoen
dc.publisherIGI Global
dc.relation.ispartofHandbook of Research on Computational Simulation and Modeling in Engineering
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectMethod of moments
dc.subjectNeural networks
dc.subjectRegression analysis
dc.subjectReliability
dc.subjectComparative studies
dc.subjectFirst order second moment method
dc.subjectGaussian process regression
dc.subjectGeneralized Regression Neural Network(GRNN)
dc.subjectMinimax probability machine
dc.subjectRegression techniques
dc.subjectSoil slopes
dc.subjectReliability analysis
dc.titleReliability analysis of slope using MPMR, GRNN and GPR
dc.typeBook Chapter
dspace.entity.typePublication
rdl.citation.scopus0
rdl.source.indexSCOPUS