The Prediction of Dam Displacement Time Series Using STL, Extra-Trees, and Stacked LSTM Neural Network

The Prediction of Dam Displacement Time Series Using STL, Extra-Trees, and Stacked LSTM Neural Network

Dam behavior prediction is a fundamental component of dam structural health monitoring. By comparing the predictions and the observations, anomalies can be detected, and then the remedial measures can be executed in time. As the most intuitive monitoring indicators, deformation is often used to eval...

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Bibliographic Details
Main Authors: Yangtao Li, Tengfei Bao, Jian Gong, Xiaosong Shu, Kang Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dam behavior prediction
time series decomposition
deep learning
ensemble learning
Online Access:https://ieeexplore.ieee.org/document/9096332/

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