Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
Sign Up to like & getrecommendations! Published in 2019 at "CATENA"
DOI: 10.1016/j.catena.2018.08.025
Abstract: Abstract The main objective of the present study was to produce a novel ensemble data mining technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by Shuffled Frog Leaping Algorithm (SFLA) and Particle Swarm… read more here.
Keywords: system; modeling landslide; evolutionary algorithms; neuro fuzzy ... See more keywords
Modeling landslide failure surfaces by polynomial surface fitting
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DOI: 10.1016/j.geomorph.2020.107358
Abstract: Abstract Estimating landslide volume based on pre- and post-event elevation models without detailed field investigations is still a major challenge due to hidden failure surfaces. A MATLAB model named “SLIPFITTER” was developed to model failure… read more here.
Keywords: polynomial surface; failure surfaces; model; modeling landslide ... See more keywords
Spatial Modeling in Landslide Susceptibility
Sign Up to like & getrecommendations! Published in 2017 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v5.i1.pp139-146
Abstract: Landslide Susceptibility Mapping is one of the mitigation effort to detect vulnerable areas for minimizing the risk of landslide disasters. This paper describes spatial model development for assessing landslide susceptibility by considering human and biophysical… read more here.
Keywords: susceptibility; analysis; geology; modeling landslide ... See more keywords