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Classification and Prediction of Slope Stability of Open-Pit Mine with Support Vector Machine Based on Chaotic Particle Swarm Optimization
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Guoyan ZHAO, Jingyu ZOU, Meng WANG
Mining and Metallurgical Engineering | 2024, 44(2) : 8 - 12
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Mining and Metallurgical Engineering | 2024, 44(2): 8-12
• MINING •
Classification and Prediction of Slope Stability of Open-Pit Mine with Support Vector Machine Based on Chaotic Particle Swarm Optimization
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Guoyan ZHAO, Jingyu ZOU, Meng WANG
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  • School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
Published: 2024-04-01 doi: 10.3969/j.issn.0253-6099.2024.02.003
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In order to simply and effectively evaluate slope stability, four machine learning models based on chaotic particle swarm optimization (CPSO) were proposed to solve the existing problems of algorithm selection and hyper-parameter optimization in traditional machine learning model, and their prediction performance were comprehensively compared among each other. A database consisting of 221 open-pit slope stability cases was established, in which 80% of the data were used for training and 20% for model testing. Based on the comparison between the prediction results of four models and the verification results of engineering practices, it is found that the support vector machine (SVM) based on CPSO is superior than other three machine learning models in terms of prediction of slope stability, presenting an accuracy up to 88%. Thus, it can provide a reliable prediction for the safety of slope in open-pit mine.

slope stability  /  chaotic particle swarm optimization (CPSO)  /  support vector machine (SVM)  /  prediction
Guoyan ZHAO, Jingyu ZOU, Meng WANG. Classification and Prediction of Slope Stability of Open-Pit Mine with Support Vector Machine Based on Chaotic Particle Swarm Optimization[J]. Mining and Metallurgical Engineering, 2024 , 44 (2) : 8 -12 . DOI: 10.3969/j.issn.0253-6099.2024.02.003
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Year 2024 volume 44 Issue 2
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Article Info
doi: 10.3969/j.issn.0253-6099.2024.02.003
  • Receive Date：2023-10-27
  • Online Date：2026-03-19
  • Published：2024-04-01
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  • Received：2023-10-27
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    School of Resources and Safety Engineering, Central South University, Changsha 410083, Hunan, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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