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What is Liquefaction Potential Index Modeling about?
This study investigates the use of ensemble learning techniques to predict the liquefaction potential index (LPI) of fine-grained soils, highlighting the effectiveness of machine learning over traditional deterministic methods. The XGBoost model demonstrated the highest predictive accuracy of 99% during testing, suggesting its viability for early assessment of liquefaction susceptibility in engineering projects. The research emphasizes the importance of various geotechnical factors in accurately estimating
- Author
- jaime yelsin rosales malpartida
- Language
- EN