{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T04:34:23Z","timestamp":1783398863898,"version":"3.54.6"},"reference-count":48,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,4,9]],"date-time":"2021-04-09T00:00:00Z","timestamp":1617926400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Program of National Natural Science Foundation of China","award":["51639002"],"award-info":[{"award-number":["51639002"]}]},{"name":"National Key Research and Development Plan of China","award":["2018YFC1505300-5.3"],"award-info":[{"award-number":["2018YFC1505300-5.3"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Symmetry"],"abstract":"<jats:p>Rockburst is a complex phenomenon of dynamic instability in the underground excavation of rock. Owing to the complex and unclear rockburst mechanism, it is difficult to accurately predict and reasonably assess the rockburst potential. With the increasing availability of case histories from rock engineering and the advancement of data science, the data mining algorithms provide a good way to predict complex phenomena, like rockburst potential. This paper investigates the potential of J48 and random tree algorithms to predict the rockburst classification ranks using 165 cases, with four parameters, namely maximum tangential stress of surrounding rock, uniaxial compressive strength, uniaxial tensile strength, and strain energy storage index. A comparison of developed models\u2019 performances reveals that the random tree gives more reliable predictions than J48 and other empirical models (Russenes criterion, rock brittleness coefficient criterion, and artificial neural networks). Similar comparisons with convolutional neural network resulted at par performance in modeling the rockburst hazard data.<\/jats:p>","DOI":"10.3390\/sym13040632","type":"journal-article","created":{"date-parts":[[2021,4,12]],"date-time":"2021-04-12T11:05:06Z","timestamp":1618225506000},"page":"632","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Rockburst Hazard Prediction in Underground Projects Using Two Intelligent Classification Techniques: A Comparative Study"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1139-1831","authenticated-orcid":false,"given":"Mahmood","family":"Ahmad","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, University of Engineering and Technology Peshawar, Bannu Campus, Bannu 28100, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4673-0845","authenticated-orcid":false,"given":"Ji-Lei","family":"Hu","sequence":"additional","affiliation":[{"name":"College of Civil Engineering and Architecture, China Three Gorges University, Yichang 443002, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9500-7285","authenticated-orcid":false,"given":"Marijana","family":"Hadzima-Nyarko","sequence":"additional","affiliation":[{"name":"Faculty of Civil Engineering and Architecture Osijek, Josip Juraj Strossmayer University of Osijek, Vladimira Preloga, 31000 Osijek, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feezan","family":"Ahmad","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Wei","family":"Tang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zia Ur","family":"Rahman","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, University of Engineering and Technology Peshawar, Bannu Campus, Bannu 28100, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2130-3716","authenticated-orcid":false,"given":"Ahsan","family":"Nawaz","sequence":"additional","affiliation":[{"name":"Institute of Construction Project Management, College of Civil Engineering &amp; Architecture, Zhejiang University, Hangzhou 310058, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Abrar","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Bahauddin Zakariya University, Multan 66000, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/0886-7798(94)90010-8","article-title":"Rockburst mechanisms in tunnels and shafts","volume":"9","author":"Ortlepp","year":"1994","journal-title":"Tunn. 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