Predicting occurrence of liquefaction-induced lateral spreading using gradient boosting algorithms integrated with particle swarm optimization: PSO-XGBoost, PSO-LightGBM, and PSO-CatBoost

Liquefaction-induced lateral spreading that has resulted in devastating damages to lifelines and buildings has been widely reported in recent earthquakes. Although it is impossible to preclude the occurrence of earthquakes, it is possible to predict its adverse effects through computer science such...

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Vydané v:	Acta geotechnica Ročník 18; číslo 6; s. 3403 - 3419
Hlavní autori:	Demir, Selçuk, Sahin, Emrehan Kutlug
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2023 Springer Nature B.V
Predmet:	Additives Algorithms Complex Fluids and Microfluidics Computer science Computers Datasets Earthquake damage Earthquake prediction Earthquakes Engineering Foundations Geoengineering Geotechnical Engineering & Applied Earth Sciences Hydraulics Liquefaction Machine learning Optimization Particle swarm optimization Performance measurement Performance prediction Research Paper Seismic activity Soft and Granular Matter Soil Science & Conservation Solid Mechanics Spreading Liquefaction Particle swarm optimization LightGBM XGBoost CatBoost Lateral spreading
ISSN:	1861-1125, 1861-1133
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