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
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/15352Resmi atıflarda kullanılan kalıcı adresTam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Subburaman, Dhivya | |
| dc.contributor.author | Jagan, J. | |
| dc.contributor.author | Dalkiliç, Yildirim | |
| dc.contributor.author | Samui, Pijush | |
| dc.date.accessioned | 2026-10-18T20:30:10.113158555Z | |
| dc.date.available | 2026-10-18T20:30:10.113158555Z | |
| dc.date.issued | 2016 | |
| dc.description.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. © 2016 by IGI Global. All rights reserved. | |
| dc.identifier.doi | 10.4018/978-1-4666-9619-8.ch030 | |
| dc.identifier.endpage | 726 | |
| dc.identifier.isbn | 978-146669620-4; 1466696192; 978-146669619-8 | |
| dc.identifier.scopus | 2-s2.0-84982962160 | |
| dc.identifier.startpage | 712 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/ebyu/15352 | |
| dc.identifier.volume | 2 | |
| dc.language.iso | en | |
| dc.publisher | IGI Global | |
| dc.relation.ispartof | Civil and Environmental Engineering: Concepts, Methodologies, Tools, and Applications | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.subject | Method of moments | |
| dc.subject | Neural networks | |
| dc.subject | Regression analysis | |
| dc.subject | Reliability | |
| dc.subject | Comparative studies | |
| dc.subject | First order second moment method | |
| dc.subject | Gaussian process regression | |
| dc.subject | Generalized Regression Neural Network(GRNN) | |
| dc.subject | Minimax probability machine | |
| dc.subject | Regression techniques | |
| dc.subject | Soil slopes | |
| dc.subject | Reliability analysis | |
| dc.title | Reliability analysis of slope using MPMR, GRNN and GPR | |
| dc.type | Book Chapter | |
| dspace.entity.type | Publication | |
| rdl.citation.scopus | 1 | |
| rdl.oa.status | gold | |
| rdl.source.index | SCOPUS |
