A High-Robust Displacement Prediction Model for Super-High Arch Dams Integrating Wavelet De-Noising and Improved Random Forest

A High-Robust Displacement Prediction Model for Super-High Arch Dams Integrating Wavelet De-Noising and Improved Random Forest

We present a novel deformation prediction model for super-high arch dams based on the prototype monitoring displacement field. The noise reduction processing of the monitoring data is conducted by a wavelet technique. The performance-improved random forest intelligent regression approach is then est...

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Bibliographic Details
Main Authors: Chongshi Gu, Binqing Wu, Yijun Chen
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Water
Subjects:
dam safety monitoring
displacement prediction model
wavelet de-noising processing
improved random forest
hyper-parameters optimization
Online Access:https://www.mdpi.com/2073-4441/15/7/1271

Internet

https://www.mdpi.com/2073-4441/15/7/1271

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