Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement
Abstract
Foundation pit displacement is a critical safety risk for both building structure and people lives. The accurate displacement monitoring and prediction of a deep foundation pit are essential to prevent potential risks at early construction stage. To achieve accurate prediction, machine learning methods are extensively applied to fulfill this purpose. However, these approaches, such as support vector machines, have limitations in terms of data...
Paper Details
Title
Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement
Published Date
Apr 23, 2018
Journal
Volume
18
Issue
3
Pages
715 - 724
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