Surface settlement modelling using neural networks
Singapore is a highly urbanized and densely populated city with high-rise buildings and complex infrastructure above and below the ground. Hence, it is imperative that the ground movements induced from tunnelling operations are anticipated and controlled prior to their occurrence, which might otherw...
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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2022
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Online Access: | https://hdl.handle.net/10356/163847 |