[1]全国工程质量安全监管信息平台公共服务门户[EB/OL].(2023-05-31)[2023-06-11].https://zlaq.mohurd.gov.cn/fwmh/bjxcjgl/fwmh/pages/default/index.html.
[2]李政道,曾佳,吴恒钦.融合GWO和SVR的建筑安全事故预测模型[J/OL].安全与环境学报:1-10[2024-03-12].https://doi.org/10.13637/j.issn.1009-6094.2023.0503.
[3]李华,赵杰风,王藤.建筑施工高处吊篮作业安全防护预警模型研究[J].中国安全生产科学技术,2019,15(10):146-151.
LI Hua,ZHAO Jiefeng,WANG Teng.Research on early warning model of safety protection for high-hanging basket operation[J].Journal of Safety Science and Technology,2019,15(10):146-151.
[4]张建荣,张伟,薛楠楠,等.基于随机森林算法的塔式起重机安全事故预测及致因分析[J].安全与环境工程,2021,28(5):36-42.
ZHANG Jianrong,ZHANG Wei,XUE Nannan,et al.Prediction and cause analysis of tower-crane safety accidents by using random forest algorithm[J].Safety and Environmental Engineering,2021,28(5):36-42.
[5]CHOI J,GU B,CHIN S,et al.Machine learning predictive model based on national data for fatal accidents of construction workers[J].Automation in Construction,Amsterdam:Elsevier,2020,110:102974.
[6]ZHU R C,HU X F,HOU J Q,et al.Application of machine learning techniques for predicting the consequences of construction accidents in China[J].Process Safety and Environmental Protection,2021,145:293-302.
[7]KANNANGARA K K P M,ZHOU W H,DING Z,et al.Investigation of feature contribution to shield tunneling-induced settlement using Shapley additive explanations method[J].Journal of Rock Mechanics and Geotechnical Engineering,2022,14(4):1052-1063.
[8]FLEURET F.Fast binary feature selection with conditional mutual information[J].Journal of Machine Learning Research,2004,5:1531-1555.
[9]SHUKLA J,BARREDA-ANGELES M,OLIVER J,et al.Feature extraction and selection for emotion recognition from electrodermal activity[J].IEEE Transactions on Affective Computing,2021,12(4):857-869.
[10]KURSA M B,RUDNICKI W R.Feature selection with the boruta package[J].Journal of Statistical Software,2010,36(11):1-13.
[11]许行,张凯,王文剑.一种小样本数据的特征选择方法[J].计算机研究与发展,2018,55(10):2321-2330.
XU Xing,ZHANG Kai,WANG Wenjian.A feature selection method for small samples[J].Journal of Computer Research and Development,2018,55(10):2321-2330.
[12]CHEN T,GUESTRIN C.XGBoost:a scalable tree boosting system[C]//Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.San Francisco California.USA:ACM,2016:785-794.
[13]NGUYEN H,HOANG N D.Computer vision-based classification of concrete spall severity using metaheuristic-optimized extreme gradient boosting machine and deep convolutional neural network[J].Automation in Construction,2022,140:104371.
[14]YANG B,LI X J,LIU Y H,et al.Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms[J].Building and Environment,2022,215:108970.
[15]ZHANG Q L,HU W F,LIU Z Y,et al.TBM performance prediction with Bayesian optimization and automated machine learning[J].Tunnelling and Underground Space Technology,2020,103:103493.
[16]张化进,吴顺川,张中信,等.边坡稳定性自动机器学习预测方法研究[J].中国安全生产科学技术,2023,19(1):35-40.
ZHANG Huajin,WU Shunchuan,ZHANG Zhongxin,et al.Research on automatic machine learning prediction method of slope stability[J].Journal of Safety Science and Technology,2023,19(1):35-40.
[17]ZHANG W,ZHU S N,ZHANG X,et al.Identification of critical causes of construction accidents in China using a model based on system thinking and case analysis[J].Safety Science,2020,121:606-618.
[18]GAYDON C.Fast-CMIM[EB/OL].(2023-04-08)[2023-05-08].https://github.com/CharlesGaydon/Fast-CMIM.
[19]SALARIAN A A,ETEMADFARD H,RAHIMZADEGAN A,et al.Investigating the role of clustering in construction-accident severity prediction using a heterogeneous and imbalanced data set[J].Journal of Construction Engineering and Management,2023,149(2):04022161.
[20]GHORBANI R,GHOUSI R.Comparing different resampling methods in predicting students performance using machine learning techniques[J].IEEE Access,2020,8:67899-67911.
[21]MEGNIDIO T M,ADEDEJI J A.Machine learning for road traffic accident improvement and environmental resource management in the transportation sector[J].Sustainability,2023,15(3):2014.
[22]湛江市遂溪县应急管理局.遂溪县乌塘镇浩发村“2·15”高处坠落伤亡事故调查报告[EB/OL].(2023-06-06)[2023-06-09].http://www.suixi.gov.cn/zjsxyjgl/gkmlpt/content/1/1769/post_1769794.html#5910.
[23]广西崇左市江州区人民政府.江州区驮卢镇连塘村安定屯“2·23”坍塌事故调查报告[EB/OL].(2023-04-28)[2023-05-23].http://www.czsjzq.gov.cn/xxfb/qtzdly0/aqsc/aqsgdcbg/t16484883.shtml.
[24]KOC K,EKMEKCIOGˇLU ,GURGUN A P.Developing a national data-driven construction safety management framework with interpretable fatal accident prediction[J].Journal of Construction Engineering and Management,2023,149(4):04023010.
[25]成连华,曹东强,李欣.房屋建筑施工事故致因因素分类研究[J].中国安全科学学报,2023,33(2):16-22.
CHENG Lianhua,CAO Dongqiang,LI Xin.Research on cause factors classification of housing construction accidents[J].China Safety Science Journal,2023,33(2):16-22.
[1]朱庆明,张浩.三次指数平滑法在煤矿事故预测中的应用研究[J].中国安全生产科学技术,2012,8(4):103.
ZHU Qing ming,ZHANG Hao.Study on the application of cubic exponential smoothing method in
coal mine accidents forecasting[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(5):103.
[2]张悦,李峰,石超,等.改进GM(1,1)模型在我国危险化学品
事故预测中的应用[J].中国安全生产科学技术,2012,8(5):96.
ZHANG Yue,LI Feng,SHI Chao,et al.Application of improved GM (1,1) model for prediction of hazardous
chemical accidents in China[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2012,8(5):96.
[3]李明洋,姜福川,陈思帆.改进欧拉法的GM(1,1)模型及其在非煤矿山事故预测中的应用[J].中国安全生产科学技术,2013,9(8):188.[doi:10.11731/j.issn.1673-193x.2013.08.035]
LI Ming yang,JIANG Fu chuan,CHEN Si fan.The improved euler method GM(1,1) model and its application in the accident prediction of noncoal mine[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(5):188.[doi:10.11731/j.issn.1673-193x.2013.08.035]
[4]李明洋,姜福川.基于最小二乘法的灰色GM(1,1)改进模型在非煤矿山事故预测中的应用[J].中国安全生产科学技术,2013,9(11):83.[doi:10.11731/j.issn.1673-193x.2013.11.014]
LI Ming yang,JIANG Fu chuan.Inproved gray GM(1,1) model in the noncoal mine accident prediction based on the methed of least square[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(5):83.[doi:10.11731/j.issn.1673-193x.2013.11.014]
[5]郑霞忠,王晓宇,陈述,等.高处坠落事故的人因失误与干预策略研究[J].中国安全生产科学技术,2017,13(6):139.[doi:10.11731/j.issn.1673-193x.2017.06.023]
ZHENG Xiazhong,WANG Xiaoyu,CHEN Shu,et al.Study on human error and intervention strategies of high falling accidents[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(5):139.[doi:10.11731/j.issn.1673-193x.2017.06.023]
[6]孟庆森,韩皓,李易.基于贝叶斯优化随机森林的高速公路二次事故预测研究[J].中国安全生产科学技术,2023,19(7):205.[doi:10.11731/j.issn.1673-193x.2023.07.030]
MENG Qingsen,HAN Hao,LI Yi.Research on secondary accident prediction of expressway based on Bayesian optimization random forest[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(5):205.[doi:10.11731/j.issn.1673-193x.2023.07.030]
[7]白金花,刘勇,程智慧,等.基于ARMA-SSESM组合模型的危险品道路运输泄漏事故预测研究*[J].中国安全生产科学技术,2023,19(10):171.[doi:10.11731/j.issn.1673-193x.2023.10.024]
BAI Jinhua,LIU Yong,CHENG Zhihui,et al.Research on prediction of hazardous materials road transportation leakage accident based on ARMA-SSESM combination model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2023,19(5):171.[doi:10.11731/j.issn.1673-193x.2023.10.024]