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

Author:

Demir SelçukORCID,Sahin Emrehan KutlugORCID

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Reference79 articles.

1. Anghel A, Papandreou N, Parnell T, De Palma A, Pozidis H (2018) Benchmarking and optimization of gradient boosting decision tree algorithms. arXiv preprint: arXiv: 180904559

2. Avval YJ, Derakhshani A (2019) New formulas for predicting liquefaction-induced lateral spreading: model tree approach. Bull Eng Geol Environ 78(5):3649–3661

3. Bartlett SF, Youd TL (1992) Empirical prediction of lateral spread displacement. In: Proceedings from the fourth Japan-US workshop on earthquake resistant design of lifeline facilities and countermeasures for soil liquefaction, pp 351–365

4. Bartlett SF, Youd TL (1995) Empirical prediction of liquefaction-induced lateral spread. J Geotech Eng 121(4):316–329

5. Baziar M, Ghorbani A (2005) Evaluation of lateral spreading using artificial neural networks. Soil Dyn Earthq Eng 25(1):1–9

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