Dam Settlement Prediction Based on Random Error Extraction and Multi-Input LSTM Network-Reference-Cited by-同舟云学术

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Dam Settlement Prediction Based on Random Error Extraction and Multi-Input LSTM Network

Published:2022-08 Issue:3 Volume:148 Page:
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Xu Yaming¹,Pan Pai²,Xing Cheng³

Affiliation:

1. Professor, School of Geodesy and Geomatics, Wuhan Univ., Wuhan 430079, China.

2. Ph.D. Candidate, School of Geodesy and Geomatics, Wuhan Univ., Wuhan 430079, China (corresponding author).

3. Lecturer, School of Geodesy and Geomatics, Wuhan Univ., Wuhan 430079, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000400

Reference26 articles.

1. Approximation theory of the MLP model in neural networks;Allan P.;Acta Numer.,1999

2. Learning long-term dependencies with gradient descent is difficult

3. EMD-Based Signal Filtering

4. Short-term electric load forecasting based on EEMD-GRU-MLR;Deng D.;Power Syst. Technol.,2020

5. Research on tunnel engineering monitoring technology based on BPNN neural network and MARS machine learning regression algorithm

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3. Time-series forecasting of consolidation settlement using LSTM network;Applied Intelligence;2024-01

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