Analysis of the groundwater influence on the categorization of the rock mass and support type of the Zenica tunnel on the route of the VC corridor by Bektašević Ekrem, Mušija Ahmed, Gutić Kemal, Beganović Sumeja, Čehajić Dino

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A comparative study on machine learning approaches for rock mass classification using drilling data by Tom F. Hansen, Georg H. Erharter, Zhongqiang Liu, Jim Torresen

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Predicting the value of the rock quality index in the Q-system using gene expression programming by M. H. Taban, M. Hajiazizi, R. Ghobadian

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Prediction of rock mass classification in tunnel boring machine tunneling using the principal component analysis (PCA)–gated recurrent unit (GRU) neural network by Ke Man, Liwen Wu, Xiaoli Liu, Zhifei Song, Kena Li, Nawnit Kumar

Subjects: “…prediction of rock mass classification…”
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Classification and prediction of rock mass drillability for a tunnel boring machine based on operational data mining by Mingshe Sun, Song Chen, Song Chen, Huafei He, Wenzheng Wang, Kezhi Song, Xuebing Lin

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