黑龙江科技大学学报2024，Vol.34Issue(4)：611-616,6.DOI:10.3969/j.issn.2095-7262.2024.04.018
基于ISABO-SVM的冲击地压危险等级预测
Prediction of rock burst risk level based on ISABO-SVM
摘要
Abstract
This paper intends to improve the prediction accuracy of rock burst risk level by establis-hing an improved subtraction average algorithm to optimize the support vector machine prediction model.By extracting five time-domain characteristic parameters including rising time and absolute energy of a-coustic emission signals,and combined with the compressive strength of coal and rock mass,the study is performed by constructing the characteristic parameter database of rock burst prediction;calculating the comprehensive risk index of each sample according to the characteristic parameter database,and dividing the risk of rock burst into four grades;taking the characteristic parameter database and the risk level as the model input and output;and predicting the kernel parameters and penalty factors in the process of the risk level of rock burst by optimizing SVM with ISABO.The results show that compared with the tradi-tional SVM model and the SVM model optimized by the subtraction average algorithm,the prediction ac-curacy of the established ISABO-SVM model is improved to 98%.关键词
冲击地压/声发射/抗压强度/减法平均算法/支持向量机Key words
rock burst/acoustic emission/compressive strength/subtraction-average-based optimi-zer/support vector machine分类
矿业与冶金引用本文复制引用
李忠勤,刘赵龙..基于ISABO-SVM的冲击地压危险等级预测[J].黑龙江科技大学学报,2024,34(4):611-616,6.基金项目
黑龙江省省属高等学校基本科研业务费科研项目(2020-KYYWF-06867) （2020-KYYWF-06867）
黑龙江省揭榜挂帅科技攻关项目(2021ZXJ02A02) （2021ZXJ02A02）
