[1] |
ZHOU Fang-fang, ZHANG Feng, DU Ze-dong, HU Chao.
Design and Implementation of Intelligent Monitoring Instrument for Dam Deformation Based on Microprocessor and Multi-communication
[J]. Journal of Yangtze River Scientific Research Institute, 2024, 41(2): 167-172.
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[2] |
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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[3] |
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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[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] |
MA Jia-jia, SU Huai-zhi, WANG Ying-hui.
Combinatorial Prediction Model for Dam Deformation Based on EEMD-LSTM-MLR
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(5): 47-54.
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[7] |
ZHANG Si-hong, JIANG De-jun.
Automatic 3D High-precision Monitoring Technology for Surface Displacement: Research and Application
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(1): 66-71.
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[8] |
HE Bo, MA Jing, GAO He-yu.
Predicting Urban Daily Water Supply Based on Multi-granularityFeature and XGBoost Integrated Model
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(5): 43-49.
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[9] |
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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[10] |
YAN Tao, CHEN Bo, CAO En-hua, LIU Yong-tao.
Prediction of Dam Deformation Using EEMD-ELM Model
[J]. Journal of Yangtze River Scientific Research Institute, 2020, 37(11): 70-73.
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[11] |
HU An-yu, BAO Teng-fei, YANG Chen-lei, ZHANG Jing-ying.
LSTM-ARIMA-based Prediction of Dam Deformation: Model and Its Application
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(10): 64-68.
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[12] |
YAN Hong-bo, ZHOU Bin, LU Xian-jian, LIU Hai-feng.
Prediction of Dam Deformation Monitoring Data Based on EEMD-GA-BP Model
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(9): 58-63.
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[13] |
DONG Dan-dan, ZU An-jun, SUN Xue-lian.
Model of Dam Deformation Monitoring Based on Genetic Ant Colony Optimization and Back Propagation Improved by Markov Chain
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(7): 48-54.
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[14] |
SHEN Jing-xin, FANG Bin, ZHENG Dong-jian, GUO Zhi-yun, LI Dan.
Dam Deformation Monitoring by Radial Basis Function Model Optimized by Particle Swarm Optimization with Inertia Weight and AdaBoost
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2018, 35(5): 57-62.
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[15] |
BAO Li-na, TANG De-shan, HU Xiao-bo, CHU Shi-ji.
Runoff Prediction Model Based on Wavelet Decomposition and Arima Error Correction: Research and Application
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2018, 35(12): 18-21.
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