A deep learning forecasting method for frost heave deformation of high-speed railway subgrade-Reference-Cited by-同舟云学术

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A deep learning forecasting method for frost heave deformation of high-speed railway subgrade

Published:2021-05 Issue: Volume:185 Page:103265
ISSN:0165-232X
Container-title:Cold Regions Science and Technology
language:en
Short-container-title:Cold Regions Science and Technology

Author:

Chen Jing,Li Anyuan,Bao Chunyan,Dai Yanhua,Liu Minghao,Lin Zhanju,Niu Fujun,Zhou Tianxiang

Funder

Chinese Academy of Sciences Science and Technology Service Network Initiative

Northwest Institute of Eco-Environment and Resources State Key Laboratory of Frozen Soil Engineering

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology

Reference48 articles.

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2. A two-layer nonlinear combination method for short-term wind speed prediction based on ELM, ENN, and LSTM;Chen;IEEE Internet Things J.,2019

3. Sunny–shady slope effect on the thermal and deformation stability of the highway embankment in warm permafrost regions;Chou;Cold Reg. Sci. Technol.,2010

4. Ten Lectures on Wavelets;Daubechies,1992

5. Study on the applications of neural networks for processing deformation monitoring data;Gao,2014

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1. Prediction method for the dynamic response of expressway lateritic soil subgrades on the basis of Bayesian optimization CatBoost;Soil Dynamics and Earthquake Engineering;2024-11

2. Cumulative frost heave and hydrothermal process of the high-speed railway subgrade under extreme climate conditions in northwest China;Transportation Geotechnics;2024-09

3. A medium to long-term variations in hydrothermal process and deformation of high-speed railway subgrade in high-altitude cold region, Northwest China;Cold Regions Science and Technology;2024-08

4. Study on GA–ANN-Based Prediction of Paving Time of Cement-Stabilized Layer above Ultra-High-Filled Subgrade;Buildings;2024-07-26

5. A new method of rapid-intelligent assessment for the dynamic service performance in high-speed railway subgrade;International Journal of Rail Transportation;2024-05-02

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