Landslide displacement prediction is one of the focuses of landslide research. In this paper, time series analysis was used to decompose the cumulative displacement of landslide into a trend component and a periodic component. Then LSSVM model and GA were used to predict landslide displacement. The results show that the GA-LSSVM model can be effectively used to predict landslide displacement and reflect the corresponding relationships between the major influencing factors and the displacement.
Original Source [2]
Links:
[1] http://admin.indiaenvironmentportal.org.in/feature-article/landslide-displacement-prediction-using-ga-lssvm-model-and-time-series-analysis-case
[2] https://www.nat-hazards-earth-syst-sci.net/17/2181/2017/
[3] http://admin.indiaenvironmentportal.org.in/category/author/tao-wen
[4] http://admin.indiaenvironmentportal.org.in/category/author/huiming-tang
[5] http://admin.indiaenvironmentportal.org.in/category/author/yankun-wang-et-al
[6] http://admin.indiaenvironmentportal.org.in/category/journal/natural-hazards-and-earth-system-sciences
[7] http://admin.indiaenvironmentportal.org.in/category/thesaurus/dams
[8] http://admin.indiaenvironmentportal.org.in/category/thesaurus/landslides
[9] http://admin.indiaenvironmentportal.org.in/category/thesaurus/china
[10] http://admin.indiaenvironmentportal.org.in/category/thesaurus/reservoirs
[11] http://admin.indiaenvironmentportal.org.in/category/thesaurus/geology
[12] http://admin.indiaenvironmentportal.org.in/category/thesaurus/disaster-preparedness