Predicting earthquake-induced soil liquefaction based on machine learning classifiers: a comparative multi-dataset study-Reference-Cited by-同舟云学术

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Predicting earthquake-induced soil liquefaction based on machine learning classifiers: a comparative multi-dataset study

Published:2021-10-30 Issue: Volume: Page:
ISSN:0219-8762
Container-title:International Journal of Computational Methods
language:en
Short-container-title:Int. J. Comput. Methods

Author:

Guo Hongwei,Zhuang Xiaoying

Publisher

World Scientific Pub Co Pte Ltd

Subject

Computational Mathematics,Computer Science (miscellaneous)

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219876221420044

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Leveraging Bayesian methods for addressing multi-uncertainty in data-driven seismic liquefaction assessment;Journal of Rock Mechanics and Geotechnical Engineering;2024-09

2. Stacking model based on six base classifiers to improve prediction of soil liquefaction: a multi-dataset study;2024-08-30

3. Machine learning application to seismic site classification prediction model using Horizontal-to-Vertical Spectral Ratio (HVSR) of strong-ground motions;GEOMECH ENG;2024

4. Use of CPT and other Parameters for Estimating Soil Unit Weight Using Optimised Machine Learning Models;2024-05-10

5. Structural performance assessment of GFRP elastic gridshells by machine learning interpretability methods;Frontiers of Structural and Civil Engineering;2022-11-23

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