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科研机构
兰州理工大学 [8]
内容类型
会议论文 [4]
期刊论文 [4]
发表日期
2022 [1]
2020 [4]
2019 [1]
2008 [2]
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专题:兰州理工大学
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Seismic fragility analysis of LRB-isolated bridges considering the uncertainty of regional temperatures using BP neural networks
期刊论文
STRUCTURES, 2022, 卷号: 44, 页码: 566-578
作者:
Shi, Yan
;
Xiong, Lijun
;
Qin, Hongguo
;
Han, Jianping
;
Sun, Zhiguo
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/22
Isolated bridge
Lead rubber bearings (LRBs)
Regional temperature variation
BP neural network
Seismic fragility
Research on the Fault Location Method of Double-terminal MMC-HVDC Transmission Line without the Influence of Wave Velocity
会议论文
Beijing, China, June 21, 2020 - June 22, 2020
作者:
Zhang, Mingguang
;
Yang, Chengming
;
Liu, Zilin
;
Chang, Jianhua
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/12/18
Acoustic wave velocity
Electric lines
Location
MATLAB
Wave propagation
Wavelet transformsGrid connections
HVDC transmission lines
HVDC transmission system
Positioning accuracy
Traveling wave fault locations
Traveling wave locations
Traveling-wave velocity
Voltage traveling waves
The improvement of Bootstrap method and its application in structure parameter uncertainty quantification and propagation
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 卷号: 33, 期号: 4, 页码: 679-687
作者:
Luo, Yong-Peng
;
Liu, Jing-Liang
;
Han, Jian-Ping
;
Lu, Si-Ping
;
Huang, Fang-Lin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/11/14
Cable stayed bridges
Data flow analysis
Density functional theory
Distribution functions
Population statistics
Probability density function
Distribution characteristics
Dynamic characteristics
Empirical distribution functions
Response surface modeling
Sensitivity indices
Structure parameter
Uncertain parameters
Uncertainty parameters
The improvement of Bootstrap method and its application in structure parameter uncertainty quantification and propagation
会议论文
作者:
Luo, Yong-Peng
;
Liu, Jing-Liang
;
Han, Jian-Ping
;
Lu, Si-Ping
;
Huang, Fang-Lin
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/12/18
Cable stayed bridges
Data flow analysis
Density functional theory
Distribution functions
Population statistics
Probability density functionDistribution characteristics
Dynamic characteristics
Empirical distribution functions
Response surface modeling
Sensitivity indices
Structure parameter
Uncertain parameters
Uncertainty parameters
The improvement of Bootstrap method and its application in structure parameter uncertainty quantification and propagation
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2020, 卷号: 33, 期号: 4, 页码: 679-687
作者:
Luo, Yong-Peng
;
Liu, Jing-Liang
;
Han, Jian-Ping
;
Lu, Si-Ping
;
Huang, Fang-Lin
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Cable stayed bridges
Data flow analysis
Density functional theory
Distribution functions
Population statistics
Probability density function
Distribution characteristics
Dynamic characteristics
Empirical distribution functions
Response surface modeling
Sensitivity indices
Structure parameter
Uncertain parameters
Uncertainty parameters
Industrial wastewater desalination under uncertainty in coal-chemical eco-industrial parks
期刊论文
RESOURCES CONSERVATION AND RECYCLING, 2019, 卷号: 145, 页码: 370-378
作者:
Huang, Liu
;
Wang, Dongliang
;
He, Chang
;
Pan, Ming
;
Zhang, Bingjian
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/11/15
Wastewater desalination
Uncertainty
Reverse osmosis
Data processing strategy
Robust design
Adaptive sliding mode control using RBF neural network for nonlinear system
会议论文
Kunming, China, July 12, 2008 - July 15, 2008
作者:
Zhang, Ming-Guang
;
Chen, Yu-Wu
;
Wang, Peng
;
Wang, Zhao-Gang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/11/15
Backpropagation
Closed loop systems
Controllers
Feedback linearization
Learning systems
Nonlinear systems
Pendulums
Personal computing
Radial basis function networks
Sliding mode control
Uncertainty analysis
Adaptive
Adaptive sliding mode control
Adaptive sliding mode controller
Feedback linearization methods
Inverted pendulum
Multi-layer feed-forward networks
Radial basis function neural networks
RBF Neural Network
Adaptive sliding mode control using RBF Neural Network for nonlinear system
会议论文
作者:
Zhang, Ming-Guang
;
Chen, Yu-Wu
;
Wang, Peng
;
Wang, Zhao-Gang
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2019/11/15
adaptive
sliding mode control
RBF neural network
feed back linearization
inverted pendulum
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