Results 241 to 250 of about 1,981,740 (257)

Rock mass type prediction for tunnel boring machine using a novel semi-supervised method

Measurement: Journal of the International Measurement Confederation, 2021
Jianfeng Tao, Dengyu Xiao, Chengjin Qin
exaly  

Multi-objective optimization control for tunnel boring machine performance improvement under uncertainty

Automation in Construction, 2022
Wenli Liu, Congjian Liu
exaly  

Intelligent decision method for main control parameters of tunnel boring machine based on multi-objective optimization of excavation efficiency and cost

Tunnelling and Underground Space Technology, 2021
Ruirui Wang, Bin Xiang, Bin Liu
exaly  

Hybrid ensemble soft computing approach for predicting penetration rate of tunnel boring machine in a rock environment

Journal of Rock Mechanics and Geotechnical Engineering, 2021
Avijit Burman, Navid Kardani, Anasua GuhaRay   +2 more
exaly  

Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm

Expert Systems With Applications, 2022
Mokhtar Mohammadi, Hawkar Ibrahim, Shima Rashidi   +2 more
exaly  

A hybrid comprehensive performance evaluation approach of cutter holder for tunnel boring machine

Advanced Engineering Informatics, 2022
Yi-min Xia, Zhiyong Ji
exaly  

Prediction model of tunnel boring machine performance by ensemble neural networks

Geomechanics and Geoengineering, 2007
Jian Zhao, Zhiye Zhao
exaly  

Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

Applied Sciences (Switzerland), 2019
Jian Zhou, Danial Jahed Armaghani, Mahmood Md Tahir   +2 more
exaly  

A new fuzzy c-means clustering-based time series segmentation approach and its application on tunnel boring machine analysis

Mechanical Systems and Signal Processing, 2019
Mao-Lin Shi, Xueguan Song
exaly  

Performance characteristics of tunnel boring machine in basalt and pyroclastic rocks of Deccan traps – A case study

Journal of Rock Mechanics and Geotechnical Engineering, 2014
Prasnna Jain, T N Singh
exaly