| 基于IGWO-SVM的露天矿边坡变形预测 |
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| 引用本文： | 胡军,邱俊博,栾长庆,张瀚斗.基于IGWO-SVM的露天矿边坡变形预测[J].矿冶工程,2022,42(1):15-18. |
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| 作者姓名： | 胡军 邱俊博 栾长庆 张瀚斗 |
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| 作者单位： | 1.辽宁科技大学 土木工程学院,辽宁 鞍山 114051;
2.鞍钢集团矿业弓长岭有限公司选矿分公司,辽宁 辽阳 111008;
3.鞍钢集团有限公司东鞍山烧结厂,辽宁 鞍山 114041 |
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| 基金项目： | 辽宁省教育厅项目(2017LNZ003);
辽宁科技大学研究生科技创新项目(LKDYC201922) |
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| 摘 要： | 为了克服露天矿边坡变形预测时传统算法精度低的问题,利用改进灰狼算法(IGWO)和支持向量机(SVM)建立了露天矿边坡变形IGWO?SVM模型.引入非线性递减的收敛因子策略和惯性权重策略改进灰狼优化算法,用来确定SVM参数,以达到提高模型精度的目的,并将露天矿边坡变形观测数据输入模型进行验证.结果表明,与SVM和BP模型...
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| 关 键 词： | 露天矿 IGWO-SVM 仿真实验 边坡变形 |
| 收稿时间： | 2021-08-23 |
Deformation Prediction Based on IGWO-SVM for Open-Pit Mine Slopes |
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| HU Jun,QIU Jun-bo,LUAN Chang-qing,ZHANG Han-dou.Deformation Prediction Based on IGWO-SVM for Open-Pit Mine Slopes[J].Mining and Metallurgical Engineering,2022,42(1):15-18. |
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| Authors: | HU Jun QIU Jun-bo LUAN Chang-qing ZHANG Han-dou |
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| Affiliation: | 1.School of Civil Engineering, University of Science and Technology, Anshan 114051, Liaoning, China;
2.Mineral Processing Branch, Gongchangling Mining Co Ltd, Anshan Iron and Steel Group Co Ltd, Liaoyang 111008, Liaoning, China;
3.Donganshan Sintering Plant, Anshan Iron and Steel Group Co Ltd, Anshan 114041, Liaoning, China |
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| Abstract: | To realize the slope deformation prediction for open-pit mines and overcome the shortcomings of low prediction accuracy of traditional algorithms, an IGWO-SVM model was established for the slope deformation of open-pit mine by adopting an improved gray wolf optimizer (IGWO) and support vector machine (SVM). The grey wolf optimizer was firstly improved by introducing non-linear decreasing convergence factor strategy and inertia weight strategy to determine the SVM parameters, so as to improve the accuracy of the model. Then, the observed slope deformation data of open-pit mine were input into the model for verification. The results show that compared with the SVM and BP models, the IGWO-SVM model has the absolute error maximally at 6.16 mm, minimally at 0.34 mm, and a mean relative error of 2.17%, indicating that the IGWO-SVM model can provide high prediction accuracy and has a good comprehensive performance. It is proven that this model is feasible to be used for the deformation prediction of open-pit mine slopes. |
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| Keywords: | open-pit mine IGWO-SVM simulation test slope deformation |
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