[2] LI Xiang.The research about systematic management of blasting engineering′s safety assessment and software development[D].Guiyang:Guizhou University,2015.(in Chinese)
[4] SHI Xiu-zhi,GUO Ting,SHANG Xue-yi,et al.Prediction of mean particle size of rock blast based on combination of PCA and BP neural networks[J].Blasting,2016,33(2):55-61.(in Chinese)
[6] WANG Ren-chao,LI Shi-peng,XU Yue-ming,et al.Study on excavation and construction simulation of pumped storage power station]J].Journal of Hydroelectric Engineering,2018,37(3):18-27.(in Chinese)
[7] SHI X Z,ZHOU J,WU B B,et al.Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction]J].Transactions of Nonferrous Metals Society of China,2012,22(2):432-441.
[9] ZHOU Xian-ping,LI Yan-po,WU Xin-xia,et al.New advance of control technique for blasting fragment-size of rock mass]J].Water Resources and Hydropower Engineering,2018,49(S1):7-13.(in Chinese)
[10] CUNNINGHAM C.The Kuz-Ram model for prediction of fragmentation from blasting]C]∥HOLMBERG R,RUSTAN A.Transactions of the First International Symposium on Rock Fragmentation by Blasting:Vol.2 L lea,Sweden:L lea University of Technology,1983:439-453.
[11] KULATILAKE P H S W,WU Q,HUDAVERDI T,et al.Mean particle size prediction in rock blast fragmentation using neural networks]J].Engineering Geology,2015,114(3):298-311.
[12] ASL P F,MONJEZI M,HAMIDI J K,et al.Optimization of flyrock and rock fragmentation in the Tajareh limestonemine using metaheuristics method of firefly algorithm]J].Engineering with Computers,2018,34(2):241-251.
[14] DONG Shi-shi,HUANG Zhe-xue.A brief theoretical overview of random forests]J].Journal of Integration Technology,2013,2(1):1-7.(in Chinese)
[16] SHI Xiu-zhi,WANG Yang,HUANG Dan,et al.Based on LS-SVR rock blasting fragmentation prediction[J].Blasting,2016,33(3):36-40.(in Chinese)
[18] SHI Xiu-zhi,ZHOU Jian,WU Bang-biao,et al.Support vector machine method for predicting average particle size of rock broken by bench blasting(English)[J].Transactions of Nonferrous Metals Society of China,2012,22(2):432-441.(in Chinese)
[19] HUDAVERDI T,KULATILAKE P H S W,KUZU C.Prediction of blast fragmentation using multivariate analysis procedures[J].International Journal for Numerical and Analytical Methods in Geomechanics,2011,35(12):1318-1333.
[21] WANG Ren-chao,ZHU Pin-guang.Study on prediction model of blasting fragmentation based on random forest regression method[J].Journal of Hydroelectric Engineering,2020,39 (1):89-101.(in Chinese)
[23] Ye Hai-wang,Hu Jun-jie,LEI Tao, et al.Prediction of rock fragmentation by loo xgboost model[J].Blasting,2022,39(1):16-21.(in Chinese)
[25] LI Jun-qing,LI Qiu-jia,SHI Tian-yu, et al.Feature selection method of wind power prediction based on Data Mining[J].Electrical Measurement and Instrumentation,2019,56(10):87-92.(in Chinese)
