{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T07:40:28Z","timestamp":1773819628073,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T00:00:00Z","timestamp":1718928000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,21]]},"DOI":"10.1145\/3690407.3690412","type":"proceedings-article","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T18:55:28Z","timestamp":1729796128000},"page":"23-30","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Rockburst Intensity Prediction Based on Grey Wolf Optimization Algorithm and Random Forest"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-5578-3887","authenticated-orcid":false,"given":"Zheng","family":"Chen","sequence":"first","affiliation":[{"name":"Shandong High Speed Engineering Testing Co.,Ltd., Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1464-221X","authenticated-orcid":false,"given":"Zhenhu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shandong High Speed Engineering Testing Co.,Ltd., Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4871-100X","authenticated-orcid":false,"given":"Wanli","family":"Tian","sequence":"additional","affiliation":[{"name":"China Academy of Transportation Science, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8300-654X","authenticated-orcid":false,"given":"Qingying","family":"Li","sequence":"additional","affiliation":[{"name":"Shandong High Speed Engineering Testing Co.,Ltd., Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-8572-8171","authenticated-orcid":false,"given":"Xiang","family":"Li","sequence":"additional","affiliation":[{"name":"Shandong High Speed Engineering Testing Co.,Ltd., Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3747-8787","authenticated-orcid":false,"given":"Tonghui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shandong High Speed Engineering Testing Co.,Ltd., Jinan, Shandong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,24]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Evaluation of rockburst occurrence and intensity in underground structures using decision tree approach[J]. Engineering with computers","author":"Ebrahim Ghasemi","year":"2019","unstructured":"Ebrahim Ghasemi, Gholizadeh Hasan, Adoko Amoussou-Coffi. Evaluation of rockburst occurrence and intensity in underground structures using decision tree approach[J]. Engineering with computers, 2019, 36(1): 213-225."},{"key":"e_1_3_3_1_2_2","volume-title":"Developing intelligent classification models for rock burst prediction after recognizing significant predictor variables","author":"Sajjad Afraei","year":"2019","unstructured":"Sajjad Afraei, Shahriar Kourosh, Madani Sayyed-Hassan. Developing intelligent classification models for rock burst prediction after recognizing significant predictor variables; Section 2, Designing classifiers[J]. Tunnelling and underground space technology, 2019, 84522-537."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.17159\/2411-9717\/2018\/v118n3a1"},{"key":"e_1_3_3_1_4_2","volume-title":"Combination of various laboratory tests to investigate rock burst[C]\/\/ 14th International Congress on Rock Mechanics and Rock Engineering (ISRM","author":"Hofmann P","year":"2019","unstructured":"Hofmann P, Klammer A, Schubert W, et al. Combination of various laboratory tests to investigate rock burst[C]\/\/ 14th International Congress on Rock Mechanics and Rock Engineering (ISRM 2019), September 13-18, 2019."},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12517-020-05718-8"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00603-016-1037-6"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10064-010-0275-1"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00603-013-0524-2"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11771-017-3619-1"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2011.08.065"},{"issue":"11","key":"e_1_3_3_1_11_2","first-page":"7","article-title":"Deep neural network rockburst prediction model based on Adam optimization algorithm[J]","volume":"40","author":"Tian Rui","year":"2020","unstructured":"Tian Rui, Meng Haidong. Deep neural network rockburst prediction model based on Adam optimization algorithm[J]. Mining Research and Development, 2020, 40(11):7.","journal-title":"Mining Research and Development"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-018-3246-7"},{"issue":"3","key":"e_1_3_3_1_13_2","first-page":"1","article-title":"Prediction of the strength of rubberized concrete by an evolved random forest model[J]","volume":"2019","author":"Sun Y","year":"2019","unstructured":"Sun Y, Li G, Zhang J, et al. Prediction of the strength of rubberized concrete by an evolved random forest model[J]. Advances in Civil Engineering, 2019, 2019(3):1-7.","journal-title":"Advances in Civil Engineering"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.conbuildmat.2019.03.189"},{"key":"e_1_3_3_1_15_2","first-page":"46","article-title":"Grey Wolf Optimizer[J]","volume":"2014","author":"Sm A","unstructured":"Sm A, Smm B, Al A. Grey Wolf Optimizer[J]. Advances in Engineering Software, 2014:46\u201361.","journal-title":"Advances in Engineering Software"},{"key":"e_1_3_3_1_16_2","first-page":"1","article-title":"Classification of rockburst in underground projects: comparison of ten supervised learning methods[J]","volume":"5","author":"Mitri","year":"2016","unstructured":"Mitri, Hani, S, et al. Classification of rockburst in underground projects: comparison of ten supervised learning methods[J]. Journal of Computing in Civil Engineering, 2016, 5:1-19.","journal-title":"Journal of Computing in Civil Engineering"},{"key":"e_1_3_3_1_17_2","volume-title":"Enhancing machine learning algorithms to assess rock burst phenomena[J]. Geotechnical and geological engineering","author":"Dimitrios Papadopoulos","year":"2021","unstructured":"Dimitrios Papadopoulos, Benardos Andreas. Enhancing machine learning algorithms to assess rock burst phenomena[J]. Geotechnical and geological engineering, 2021, 39:5787\u20135809."},{"key":"e_1_3_3_1_18_2","volume-title":"Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques[J]. Engineering with computers","author":"Roohollah Shirani Faradonbeh","year":"2019","unstructured":"Roohollah Shirani Faradonbeh, Taheri Abbas. Long-term prediction of rockburst hazard in deep underground openings using three robust data mining techniques[J]. Engineering with computers, 2019, 35(2): 659-675."},{"key":"e_1_3_3_1_19_2","volume-title":"Random Forests[M]","author":"Cutler D-R","year":"2004","unstructured":"A Cutler, Cutler D-R, Stevens J-R. Random Forests[M]. Springer US, 2004: 157-176."},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/S1003-6326(13)62487-5"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10064-021-02460-7"},{"key":"e_1_3_3_1_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00024-019-02197-1"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2839754"},{"key":"e_1_3_3_1_24_2","volume-title":"Statistical assessment of rock burst potential and contributions of considered predictor variables in the task[J]. Tunnelling and underground space technology","author":"Afraei S","year":"2018","unstructured":"Afraei S, Shahriar K, Madani S H. Statistical assessment of rock burst potential and contributions of considered predictor variables in the task[J]. Tunnelling and underground space technology, 2018, 72:250-271."},{"issue":"1","key":"e_1_3_3_1_25_2","first-page":"134","article-title":"Prediction of rockburst tendency based on PSO-RBF neural network model[J]","volume":"28","author":"Li Renhao","year":"2020","unstructured":"Li Renhao, Gu Helong, Li Xibing, et al. Prediction of rockburst tendency based on PSO-RBF neural network model[J]. Gold Science and Technology, 2020, 28(1):134-141.","journal-title":"Gold Science and Technology"}],"event":{"name":"CAIBDA 2024: 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms","location":"Zhengzhou China","acronym":"CAIBDA 2024"},"container-title":["Proceedings of the 2024 4th International Conference on Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690412","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3690407.3690412","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:09:37Z","timestamp":1750295377000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3690407.3690412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,21]]},"references-count":25,"alternative-id":["10.1145\/3690407.3690412","10.1145\/3690407"],"URL":"https:\/\/doi.org\/10.1145\/3690407.3690412","relation":{},"subject":[],"published":{"date-parts":[[2024,6,21]]},"assertion":[{"value":"2024-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}