Hybrid PSO with tree-based models for predicting uniaxial compressive strength and elastic modulus of rock samples
Niaz Muhammad Shahani,
Qin Xiaowei,
Xin Wei
et al.
Abstract:The mechanical characteristics of rocks, specifically uniaxial compressive strength (UCS) and elastic modulus (E), serve as crucial factors in ensuring the integrity and stability of relevant projects in mining and civil engineering. This study proposes a novel hybrid PSO (particle swarm optimization) with tree-based models, such as gradient boosting regressor (GBR), light gradient boosting machine (LightGBM), random forest (RF), and extreme gradient boosting (XGBoost) for predicting UCS and E of rock samples … Show more
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