Prediction of penetration rate by GRU neural network

Prediction of penetration rate by GRU neural network

Mechanised tunnelling projects using boring machines (TBM) are becoming widespread. Here in Singapore multiple projects are underway that expands our subterranean space. The productivity and financial viability of these projects have since become an important topic. Much research, past and ongoing,...

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Bibliographic Details
Main Author: Leo, Kew Xun Wei
Other Authors: Zhao Zhiye
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Civil engineering::Geotechnical
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/158680

Internet

https://hdl.handle.net/10356/158680

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