Uncertain Prediction for Slope Displacement Time-Series Using Gaussian Process Machine Learning

Uncertain Prediction for Slope Displacement Time-Series Using Gaussian Process Machine Learning

The Gaussian process regression (GPR) model, which is a powerful machine learning tool for probabilistic prediction, is introduced into slope displacement prediction. Using this model, the displacements of the slope of the permanent ship lock of the Three Gorges Project, the Wolongsi slope, and the...

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Bibliographic Details
Main Authors: Bin Hu, Guoshao Su, Jianqing Jiang, Jianlong Sheng, Jing Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Slope engineering
displacement prediction
time series
Gaussian process regression
Online Access:https://ieeexplore.ieee.org/document/8630981/

Internet

https://ieeexplore.ieee.org/document/8630981/

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