[1] |
LIU Ruilin, MAN Ke, LIU Xiaoli, SONG Zhifei, ZHOU Ran.
Prediction of Ground Conditioning Effect of WaterRich
Sandy Stratum Based on
Genetic AlgorithmBack Propagation Neural Network
[J]. Tunnel Construction, 2023, 43(S1): 222-232.
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[2] |
LIU Xingen, WANG Bozhi, LIU Xiaodi.
Track Deviation Correction Method of Shield Based on
Space S-Curves
[J]. Tunnel Construction, 2023, 43(S1): 457-463.
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[3] |
CAO Yong, YANG Chuan, QIU Wenge, WANG Xianhao, BAI Hengbin, LING Peng.
Calculation Method for Jv Value Based on Three-Dimensional Geometric Image of Tunnel Face
[J]. Tunnel Construction, 2023, 43(9): 1492-1500.
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[4] |
ZHANG Jiapeng, GUO Chun.
Optimization Model for Ventilation Control in Tunnel
Construction Based
on COAir Demand Theory
[J]. Tunnel Construction, 2023, 43(7): 1153-1160.
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[5] |
GAO Kun, YU Sihao, XU Weiqing, ZHANG Zixin.
Novel Prediction Method for Shield Advancing Speed
Based on AttentionResNetLong
ShortTerm Memory Hybrid Neural Network
[J]. Tunnel Construction, 2023, 43(4): 592-601.
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[6] |
WANG Hua, LIN Chungang, LI Jing.
Design of Intelligent Control System for Installation
Machine ofShield Tunnel Middle Partition Wall
[J]. Tunnel Construction, 2023, 43(4): 698-710.
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[7] |
HU Min, PEI Liefeng, WU Bingjian, SUN Junchao, LU Jing.
Current Situation and Prospect of Shield Automatic
Driving Technology
[J]. Tunnel Construction, 2023, 43(3): 383-391.
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[8] |
LIU Sijin, WANG Yubo, FANG Yong, XIONG Yingjian, MA Yuyang.
Prediction Model for Grease Consumption of Super-Large
Diameter Slurry Shield Based on Bidirectional Long Short-Term
Memory and Autoregressive
Integrated Moving Average Model
[J]. Tunnel Construction, 2023, 43(3): 408-416.
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[9] |
YUAN Zhenyu, AN Zheli, MA Weibin, MA Chengxian, WANG Yong, CHANG Kai.
Exploration on Intelligent Rock Classification Method
for Tunnels
Based on Multi-source Heterogeneous Data Fusion
[J]. Tunnel Construction, 2023, 43(3): 429-440.
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[10] |
WU Bingjian, WU Huiming, HU Min, SUN Junchao.
Design and Application of a Data Driven
Shield Autonomous Attitude Control System
[J]. Tunnel Construction, 2023, 43(3): 478-485.
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[11] |
HU Changming, FENG Lili, LI Liang, YU Xiangtao, LI Zengliang.
Surface Settlement Control and Parameter Optimization
of Shield Tunneling Based on Machine Learning
[J]. Tunnel Construction, 2023, 43(12): 1985-1995.
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[12] |
SUN Ze, SONG Zhanping, YUE Bo, YANG Zifan.
Inversion Model for Surrounding Rock Parameters Based
on Back Propagation Neural Networks Improved by
Stochastic Gradient Descent Algorithm
[J]. Tunnel Construction, 2023, 43(12): 2066-2076.
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[13] |
GU Weihong, MAO Mengwei.
Application of Improved Convolution Neural Network in
Gearbox Wear
Status Recognition of Tunnel Boring Machines
[J]. Tunnel Construction, 2023, 43(11): 1853-1861.
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[14] |
WANG Bozhi, CHEN Wenming, XIE Hao, DING Shuang, SANG Yunlong, LIU Xuezeng.
Prediction and Analysis of Shield Tunneling Parameters
under Soft and Hard Mixed Ground in Jinan, China
[J]. Tunnel Construction, 2022, 42(S2): 36-43.
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[15] |
WANG Lixin, WANG Qiang, ZHONG Yujian, XU Shuoshuo, QIU Junling, LAI Jinxing, WANG Ke.
Inversion Analysis of Influence of Proximity
Construction on Metro
Structure Based on Back Propagation Neural Network
[J]. Tunnel Construction, 2022, 42(S2): 102-113.
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