[1] |
MENG Wan-shang, ZHAO Shuai-jie, LI Lin.
Flow Calculation Model for Trapezoidal Gate Based on Artificial Neural Network
[J]. Journal of Yangtze River Scientific Research Institute, 2024, 41(9): 86-92.
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[2] |
ZHANG Yan, LIU Jia-hao, LÜ Yuan, LI Zhi-hao, ZHANG Yan-nan, LI Sheng, CHEN Zhuan-wen.
Influence of Stone Powder Parameters on Mechanical Properties of Concrete
[J]. Journal of Yangtze River Scientific Research Institute, 2023, 40(3): 166-173.
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[3] |
LI Qing-wen, CAO Hang, YANG Lu, WANG Xue-zhi, LIU Hua-xin.
Effects of Steel-PVA Hybrid Fiber on Shear Performance of Self-compacting Concrete Beams
[J]. Journal of Yangtze River Scientific Research Institute, 2022, 39(10): 121-127.
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[4] |
GUO Zhen-tian, HUANG Feng, GUO Li-dan, WU Yao.
Causes and Countermeasures of Hydrological Regime Evolution in Poyang Lake
[J]. Journal of Yangtze River Scientific Research Institute, 2021, 38(6): 27-31.
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[5] |
XING Yue, TIAN Zheng-hong, DU Hui.
Intelligent Evaluation of Interlayer Bonding Quality of RCC Dam
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(8): 142-149.
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[6] |
ZHAO Li-xue, HUANG Jie-jun, CHENG Xue-jun, SHEN Shao-hong, YUAN Yan-bin.
A Method of River Flow Prediction Based on VMD-BP Model
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(7): 47-52.
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[7] |
XIAO Xiao, XU Jian, ZHAO Deng-zhong, CHENG Xue-jun, LI Guo-zhong, ZHAO Bao-cheng, XU Jian.
Remote Sensing Retrieval of Total Suspended Solids Concentration for Typical Reach of Hanjiang River Using Hyperspectral Data
[J]. Journal of Yangtze River Scientific Research Institute, 2020, 37(11): 141-148.
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[8] |
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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[9] |
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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[10] |
RAO Yun-kang, DING Yu, XU Wen-nian, ZHANG Liang, ZHANG Heng, PAN Bo.
Estimating Maximum Dry Density of Gravel Soil by Back Propagation Neural Network Optimized by Genetic Algorithm
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(4): 88-92.
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[11] |
GUO Yi, WU Xin-miao, QIE Zhi-hong, RAN Yan-li.
Parameter Calibration of MIKE SHE Model Based on BP Neural Network
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(3): 26-30.
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[12] |
HE Hua-gang.
Analysis of Deformation Mechanism and Risk Assessment of Tunnel in Operation
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(12): 36-42.
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[13] |
WANG Fei.
Factors Influencing Deformation of Subway’s Deep Foundation Pit Based on Quantification Theory III
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(11): 110-114.
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[14] |
WANG Xiao-bing, XIA Xiao-zhou, ZHANG Qing.
Reliability Analysis on Anti-sliding Stability of Levee SlopeBased on Orthogonal Test and Neural Network
[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2019, 36(10): 89-93.
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[15] |
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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