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China Tunnel Academic Paper : Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance
Engineering with Computers ( IF 3.938 ) Pub Date : 2021-01-05 , DOI: 10.1007/s00366-020-01225-2
Jie Zeng, Bishwajit Roy, Deepak Kumar, Ahmed Salih Mohammed, Danial Jahed Armaghani, Jian Zhou, Edy Tonnizam Mohamad
A proper planning schedule for tunnel boring machine (TBM) construction is considered as a necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance with high degree of accuracy is needed to prepare a suitable planning schedule. This study aims to predict the advance rate of TBMs using optimized extreme learning machine (ELM) model with six particles swam optimization (PSO) techniques
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https://www.x-mol.com/paper/1346546054205689856
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance,Engineering with Computers - X-MOL
www.x-mol.comA proper planning schedule for tunnel boring machine (TBM) construction is considered as a necessary and difficult task in tunneling projects. Therefore, prediction of TBM performance with high degree of accuracy is needed to prepare a suitable...