Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods

Feedback on a shared big dataset for intelligent TBM Part I: Feature extraction and machine learning methods

This review summarizes the research outcomes and findings documented in 45 journal papers using a shared tunnel boring machine (TBM) dataset for performance prediction and boring efficiency optimization using machine learning methods. The big dataset was collected during the Yinsong water diversion...

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Bibliographic Details
Main Authors: Jian-Bin Li, Zu-Yu Chen, Xu Li, Liu-Jie Jing, Yun-Pei Zhangf, Hao-Han Xiao, Shuang-Jing Wang, Wen-Kun Yang, Lei-Jie Wu, Peng-Yu Li, Hai-Bo Li, Min Yao, Li-Tao Fan
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2023-08-01
Series:Underground Space
Subjects:
Big data
Machine learning method
TBM construction
Data extraction
Machine learning contest
Online Access:http://www.sciencedirect.com/science/article/pii/S2467967423000235

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http://www.sciencedirect.com/science/article/pii/S2467967423000235

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