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Deformation Prediction of Unstable Slopes Based on Real-Time Monitoring and DeepAR Model
2020
Sensors
Preserved Fulltext
The machine learning Probabilistic Forecasting with Autoregressive Recurrent Networks (DeepAR) model based on time series and probabilistic forecasting was introduced into the project to predict the slope ...
Currently, prediction and early warning of a landslide can be effectively performed by using Internet of Things (IoT) technology to monitor the landslide deformation in real time and an artificial intelligence ...
It introduces an artificial intelligence algorithm based on time series and probabilistic forecasting for the prediction of deformation based on real-time displacement and rainfall data. ...
doi:10.3390/s21010014
pmid:33375148
fatcat:gq7weoey4rg5lc44igr7o3vbs4
Deformation Prediction of Unstable Slopes Based on Real-Time Monitoring and DeepAR Model
2021
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Deformation Prediction of Unstable Slopes Based on Real-Time Monitoring and DeepAR Model. Sensors 2021, 21, 14. https://dx. ...
It introduces an artificial intelligence algorithm based on time series and probabilistic forecasting for the prediction of deformation based on real-time displacement and rainfall data. ...
The prediction of unstable slopes was based on the data collected by the advanced monitoring technology. ...
doi:10.18154/rwth-2021-01259
fatcat:rwgg32wh2rhdvku47efia7grwi