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湖南大学 [5]
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期刊论文 [19]
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Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:
Sibo Cheng
;
César Quilodrán-Casas
;
Said Ouala
;
Alban Farchi
;
Che Liu
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/05/29
Data assimilation (DA)
deep learning
machine learning (ML)
reduced-order-modelling
uncertainty quantification (UQ)
Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin
期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2021, 卷号: 141, 页码: 15
作者:
Li, Xin
;
Zhang, Ling
;
Zheng, Yi
;
Yang, Dawen
;
Wu, Feng
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  |  
浏览/下载:82/0
  |  
提交时间:2021/08/19
Watershed system model
Human-nature system
Decision support system
Water resource management
Heihe river basin
Endorheic river basin
Optimization of centrifugal pump blade based on high-dimensional hybrid model and genetic algorithm
期刊论文
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 卷号: 48, 期号: 7, 页码: 128-132
作者:
Jiang, Bingxiao
;
Yang, Junhu
;
Bai, Xiaobang
;
Wang, Xiaohui
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  |  
浏览/下载:11/0
  |  
提交时间:2020/11/14
Centrifugal pumps
Computational efficiency
Computational fluid dynamics
Curve fitting
Efficiency
Numerical models
Software testing
Support vector machines
Blade profile optimizations
Centrifugal pump impellers
High dimensional model representation
Low specific speed centrifugal pump
Operating points
Simulation efficiency
Simulation performance
Surrogate modelling
A LSTM surrogate modelling approach for caisson foundations
期刊论文
OCEAN ENGINEERING, 2020, 卷号: 204, 页码: 13
作者:
Zhang P
;
Yin ZY
;
Zheng YY
;
Gao FP(高福平)
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  |  
浏览/下载:16/0
  |  
提交时间:2020/06/15
Caisson foundation
Failure envelope
Smoothed particle hydrodynamics
Long short-term memory
Enhancing traffic safety at school zones by operation and engineering countermeasures: A microscopic simulation approach
期刊论文
SIMULATION MODELLING PRACTICE AND THEORY, 2019, 卷号: 94, 页码: 334-348
作者:
Rahman, Md Hasibur
;
Abdel-Aty, Mohamed
;
Lee, Jaeyoung*
;
Rahman, Md Sharikur
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  |  
浏览/下载:39/0
  |  
提交时间:2019/12/03
Flashing beacon
Microsimulation
Rear-end crash risk
School zone safety
Surrogate safety measures
Two-step speed reduction
Interval uncertainty analysis for static response of structures using radial basis functions
期刊论文
APPLIED MATHEMATICAL MODELLING, 2019, 卷号: 69, 页码: 425-440
作者:
Liu, Yisi
;
Wang, Xiaojun
;
Wang, Lei
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  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Interval uncertainty
Uncertainty propagation
Surrogate model
Finite element method
Radial basis functions
QUADRATIC CONVERGENCE OF LEVENBERG-MARQUARDT METHOD FOR ELLIPTIC AND PARABOLIC INVERSE ROBIN PROBLEMS
期刊论文
ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2018, 卷号: 52, 期号: 3
作者:
Jiang, Daijun
;
Feng, Hui
;
Zou, Jun
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Inverse Robin problems
Levenberg-Marquardt method
surrogate functional
Quadratic convergence of Levenberg-Marquardt method for elliptic and parabolic inverse robin problems
期刊论文
ESAIM: Mathematical Modelling and Numerical Analysis, 2018, 卷号: 52, 期号: 3, 页码: 1085-1107
作者:
Jiang, Daijun
;
Feng, Hui
;
Zou, Jun*
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/23
Inverse Robin problems
Levenberg-Marquardt method
Surrogate functional.
Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
期刊论文
Applied Mathematical Modelling, 2018, 卷号: Vol.58, 页码: 404-420
作者:
Xiao, N.-C.
;
Zuo, M.J.
;
Guo, W.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/26
Cross validation
Kriging models
Reliability analysis
Sequential sampling design
Structural reliability
Surrogate model
Efficient reliability analysis based on adaptive sequential sampling design and cross-validation
期刊论文
Applied Mathematical Modelling, 2018, 卷号: Vol.58, 页码: 404-420
作者:
Xiao, NC
;
Zuo, MJ
;
Guo, W
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/26
Structural
reliability
Reliability
analysis
Cross
validation
Surrogate
model
Sequential
sampling
design
Kriging
models
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