Prediction of TBM tunneling parameters and rockburst grade based on CNN-LSTM model

In order to improve the intelligent construction and disaster prediction capabilities of TBM in traffic water conservancy and deep coal mine engineering, the CNN-LSTM model combining the advantages of convolutional neural network (CNN) and long short-term memory neural network (LSTM) was proposed, a...

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Bibliografiske detaljer

Principais autores:	Ke MAN, Liwen WU, Xiaoli LIU, Zhifei SONG, Kena LI
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Coal Science and Technology 2024-12-01
Serier:	Meitan kexue jishu
Fag:	tbm tunnel tunnelling parameters rockburst grade cnn-lstm model grey relation analysis
Online adgang:	http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2023-0777
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