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Time-Series Uncertainty Quantification of Foundation Settlement with Kernel Based Extreme Learning Machine
The dynamic building foundation settlement subsidence are threatening the urban business and residential communities. In the temporal domain, the building foundation settlement often suffers from high level dynamics and needs real-time monitoring. Accurate quantification of the uncertainty of foundation settlement in the near future is essential for the in-advance risk management for buildings. Traditional models for predicting foundation settlement mostly utilizing the point estimates approachdoi:10.21203/rs.3.rs-640751/v1 fatcat:4ufvnjhxzvattfwnpygzolyuka