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Method for surrounding rock mass classification of highway tunnels based on deep learning technology

By extracting the relevant information of surrounding rock classification of road tunnel face using the deep learning technology, a multilayer convolution neural network model is established to recognize the distributive features of surrounding rock including joints, cracks, broken situations, rough...

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Bibliografische Detailangaben
1. Verfasser: LIU Hou-xiang 1, LI Wang-shi 1,3, ZHA Zhuan-yi 1, JIANG Wu-jun 2, XU Teng 1
Format: Artigo
Sprache:Inglês
Veröffentlicht: Editorial Office of Chinese Journal of Geotechnical Engineering 2018-10-01
Schriftenreihe:Yantu gongcheng xuebao
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Online-Zugang:https://www.cgejournal.com/en/article/doi/10.11779/CJGE201810007
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