Hard-Rock TBM Thrust Prediction Using an Improved Two-Hidden-Layer Extreme Learning Machine

Hard-Rock TBM Thrust Prediction Using an Improved Two-Hidden-Layer Extreme Learning Machine

It is difficult for tunnel boring machine (TBM) operators to respond for safe and high-efficient construction without accurate reference parameters such as the TBM thrust. A new hybrid model (MRFO-AT-TELM) combining an improved two-hidden-layer extreme learning machine (AT-TELM) and manta ray foragi...

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Bibliographic Details
Main Authors: Long Li, Zaobao Liu, Yuchi Lu, Fei Wang, Seokwon Jeon
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Hard rock TBM
construction big data
thrust prediction
two-hidden-layer extreme learning machine
Online Access:https://ieeexplore.ieee.org/document/9926104/

Internet

https://ieeexplore.ieee.org/document/9926104/

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