爆破器材2025，Vol.54Issue(4)：38-45,8.DOI:10.3969/j.issn.1001-8352.2025.04.007
基于SSA-DBN的隧道爆破效果的预测
Prediction of Tunnel Blasting Outcomes Based on SSA-DBN
摘要
Abstract
A prediction study on tunnel blasting outcomes was conducted using the Qilinguan Tunnel project as an example.SSA-DBN prediction model based on sparrow search algorithm(SSA)optimized deep belief network(DBN)was used.Using the selected eight parameters that affect the blasting outcomes as input indicators,and the average absolute er-ror EMA,mean square error EMS,and determination coefficient of R2 as evaluation indicators,a comparative evaluation was conducted on the output indicators(maximum linear over excavation,under excavation and fragmentation)of DBN model,principal component analysis(PCA)optimized DBN model(PCA-DBN),and SSA-DBN model.The results show that R2 of the maximum linear over excavation,under excavation,and fragmentation of SSA-DBN model is 0.997 3,0.997 7,and 0.998 1,respectively.EMA is 0.461 0,0.338 0,and 0.360 2,respectively.EMS is 0.297 5,0.178 2,and 0.175 3,re-spectively.SSA-DBN model has the highest fitting degree between predicted values and actual values,followed by DBN model,and PCA-DBN model has the lowest.The sensitivity index r2 of input parameters to blasting outcomes is mainly be-tween 0.6 and 0.7.The accuracy and stability of SSA-DBN model have been verified.关键词
爆破工程/DBN神经网络/麻雀搜索算法(SSA)/爆破效果预测Key words
blasting engineering/DBN neural network/sparrow search algorithm/prediction of blasting outcome分类
矿业与冶金引用本文复制引用
施龙,崔大勇,李龙,陈迪,周长春..基于SSA-DBN的隧道爆破效果的预测[J].爆破器材,2025,54(4):38-45,8.基金项目
陕西省创新能力支撑计划(2020TD-005) （2020TD-005）
