湖南大学学报（自然科学版）2025，Vol.52Issue(4)：149-158,10.DOI:10.16339/j.cnki.hdxbzkb.2025274
融合XGBoost和SVR的滑坡位移预测
Fusion of XGBoost and SVR for Landslide Displacement Prediction
摘要
Abstract
In this paper,a landslide displacement prediction model integrating extreme gradient boosting and optimized support vector regression is proposed by using extreme gradient boosting and support vector regression,and combining the advantages of hunter-prey optimization algorithm.Firstly,extreme gradient boosting(XGBoost)is used for the preliminary prediction of landslide displacement,and then hunter-prey optimizer(HPO)is used to optimize support vector regression(SVR).A combined prediction model(HPO-SVR)is constructed by optimizing the hyperparameters of SVR using HPO to correct the prediction results of XGBoost.The validation of two sets of landslide displacement measured data shows that the HPO algorithm obtains a more reasonable hyperparameter of SVR through the dynamic optimization strategy of constantly updating the positions of the hunter and the prey.Relative to the combined prediction models of XGBoost,SVR,and its combination with particle swarm optimization algorithm,genetic algorithm,and HPO,the combined XGBoost-HPO-SVR model achieves good results in predicting the displacements of Yangwashan landslide and Tuojiashan landslide,with mean square errors of 3.505 and 0.550,and mean absolute errors of 1.357 and 0.538,respectively.关键词
极端梯度提升/支持向量回归/猎人猎物优化算法/滑坡位移预测Key words
extreme gradient boosting/support vector regression/hunter prey optimization algorithm/landslide displacement prediction分类
天文与地球科学引用本文复制引用
王惠琴,梁啸,何永强,李晓娟,张建良,郭瑞丽,刘宾灿..融合XGBoost和SVR的滑坡位移预测[J].湖南大学学报（自然科学版）,2025,52(4):149-158,10.基金项目
甘肃省交通厅科研项目(2022-14),Scientific Research Project of the Transportation Department of Gansu Province(2022-14) （2022-14）
甘肃省重点研发计划(21YF1GA381),The Key Research and Development Program of Gansu Province(21YF1GA381) （21YF1GA381）
陕西省重点研发计划-工业领域(2024GXYBXM-42),Shaanxi Provincial Key R&D Program-Industrial Field(2024GX-YBXM-42) （2024GXYBXM-42）
甘肃省科技计划项目(25JRRA043),Gansu Provincial Science and Technology Program Project(25JRRA043) （25JRRA043）
