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Reliability analysis of slope using MPMR, GRNN and GPRSubburaman, DhivyaJagan, J.Dalkiliç, YildirimSamui, PijushMethod of momentsNeural networksRegression analysisReliabilityComparative studiesFirst order second moment methodGaussian process regressionGeneralized Regression Neural Network(GRNN)Minimax probability machineRegression techniquesSoil slopesReliability analysisFirst 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.IGI Global2016Book Chapterhttps://rdlopen.rawdatalibrary.net/r/ebyu/15352https://doi.org/10.4018/978-1-4666-9619-8.ch030978-146669620-4; 1466696192; 978-146669619-8enCivil and Environmental Engineering: Concepts, Methodologies, Tools, and Applicationsinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/bookParthttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/15352