[1] |
SONG Bao-gang, BAO Teng-fei, XIANG Zhen-yang, WANG Rui-jie.
Wavelet-based SSA-ELM Spatio-temporal Prediction Model for Dam Deformation
[J]. Journal of Yangtze River Scientific Research Institute, 2023, 40(8): 145-151.
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[2] |
GE Pan-meng, CHEN Bo, CHEN Wei-nan, ZHU Ming-yuan.
An OWOA-RFWSVR-DLM-based Model for Predicting Dam Deformation in the Alpine Region
[J]. Journal of Yangtze River Scientific Research Institute, 2023, 40(5): 153-159.
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[3] |
CAO En-hua, BAO Teng-fei, HU Shao-pei, YUAN Rong-yao, YAN Tao.
A Deformation Prediction Model for Concrete Dam Based on Extreme Learning Machine Optimized by Variable Selection
[J]. Journal of Yangtze River Scientific Research Institute, 2022, 39(7): 59-65.
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[4] |
DENG Si-yuan, ZHOU Lan-ting, WANG Fei, LIU Zhi-kun.
XGBoost-LSTM Combinatorial Model with Variable Weight for Dam Deformation Prediction and Its Application
[J]. Journal of Yangtze River Scientific Research Institute, 2022, 39(10): 72-79.
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[5] |
GAO Zhi-xin, BAO Teng-fei, LI Yang-tao, WANG Yi-bing.
Dam Deformation Prediction Model Based on Bayesian Optimization and LightGBM
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(7): 46-50.
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[6] |
WU Da-yong.
Stability Analysis and Deformation Prediction for Collapsed Segment of Xiaozhaishan Tunnel Entrance
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(9): 79-86.
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[7] |
ZHENG Xu-dong, CHEN Tian-wei, WANG Lei, DUAN Qing-da, GAN Ruo.
Dam Deformation Prediction Using EEMD-PCA-ARIMA Model
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(3): 57-63.
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[8] |
HE Yang-yang, SU Huai-zhi.
Wavelet-Cloud Prediction Model for Dam Deformation
[J]. Journal of Yangtze River Scientific Research Institute, 2020, 37(11): 59-63.
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[9] |
WANG Cheng,YANG Guang,ZU An-jun,CHEN Yue,YIN Wen-zhong, QIU Xiao-qin.
A Combinatorial Wavelet-EGM-PE-ARIMA Model for Predicting Concrete Dam Deformation
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(8): 67-72.
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[10] |
ZHU Jing.
Study on Deformation Law of Foundation Pit by Multifractal Detrended Fluctuation Analysis and Extreme Learning Machine Improved by Particle Swarm Optimization
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(3): 53-58.
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[11] |
LI Qiao, JU Neng-pan, HUANG Jian, WANG Chang-ming, LAI Ruo-fan, JIAN Xin-lei.
A Prediction Method for Abutment Slope Deformation Based on IPSO-LSSVM Model Integrating Ensemble Empirical Mode Decomposition and Sample Entropy
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(12): 47-53.
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[12] |
ZHANG Bi.
Application of Optimized Support Vector Machines and V/S Analysis to Tunnel Deformation Prediction and Trend Judgment
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2018, 35(4): 67-71.
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[13] |
ZHOU Yong-sheng.
Application of Multi-stage Progressive Model to Predicting Foundation Pit Deformation
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2017, 34(8): 47-51.
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[14] |
WANG Xing-ke, WANG Juan.
Application of Comprehensive Graph Weight Method to Landslide Deformation Prediction
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2017, 34(7): 82-86.
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[15] |
WANG Juan, WANG Xing-ke.
Application of Combinatorial Forecasting and R/S Analysis to Determining Foundation Pit’s Deformation Trend
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2017, 34(5): 103-108.
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