Assessing landslide susceptibility based on hybrid multilayer perceptron with ensemble learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Geotechnical Engineering and Engineering Geology
Link
https://link.springer.com/content/pdf/10.1007/s10064-023-03409-8.pdf
Reference104 articles.
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2. Arlot S, Celisse A (2010) A survey of cross-validation procedures for model selection. Statistics Surveys 4(40–79):40
3. Arnone E, Francipane A, Scarbaci A, Puglisi C, Noto LV (2016) Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping. Environ Model Softw 84:467–481. https://doi.org/10.1016/j.envsoft.2016.07.016
4. Atkinson PM, Massari R (1998) Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy. Comput Geosci 24:373–385. https://doi.org/10.1016/S0098-3004(97)00117-9
5. Ayalew L, Yamagishi H (2005) The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology 65:15–31. https://doi.org/10.1016/j.geomorph.2004.06.010
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