A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS

A NOVEL APPROACH TO FORECASTING SHORT UNIVARIATE TUNNEL SETTLEMENT DATA THROUGH MULTI-TASK MULTI-CHANNEL TRAINING OF ADJACENT TUNNEL POINTS

Bachelor's

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Bibliographic Details
Main Author: LIM JIA RONG
Other Authors: BUILDING
Format: Dissertation
Language:English
Published: 2021
Subjects:
2020-2021
Building
Bachelor's
BACHELOR OF SCIENCE (PROJECT AND FACILITIES MANAGEMENT)
Yan Ke
Research Subject Categories::NATURAL SCIENCES::Earth sciences::Exogenous earth sciences::Physical geography
Research Subject Categories::TECHNOLOGY::Civil engineering and architecture::Geoengineering and mining engineering::Geoengineering
Online Access:https://scholarbank.nus.edu.sg/handle/10635/221262
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Institution: National University of Singapore
Language: English

Internet

https://scholarbank.nus.edu.sg/handle/10635/221262

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