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自动化研究所 [9]
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期刊论文 [52]
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2019 [64]
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Prediction error analysis of wind power based on clustering and non-parametric kernel density estimation
期刊论文
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2019, 卷号: 40, 期号: 12, 页码: 3594-3604
作者:
Zhang, Xiaoying
;
Zhang, Xiaomin
;
Liao, Shun
;
Chen, Wei
;
Wang, Xiaolan
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Cluster analysis
Errors
Iterative methods
Probability distributions
Statistics
Weather forecasting
Wind power
Fitting accuracy
Non-parametric estimations
Segmental clustering
Wind power forecast
Window width
A potential-free field inverse Schrodinger problem: optimal error bound analysis and regularization method
期刊论文
INVERSE PROBLEMS IN SCIENCE AND ENGINEERING, 2019, 卷号: 28, 期号: 9, 页码: 1209-1252
作者:
Yang, Fan
;
Fu, Jun-Liang
;
Li, Xiao-Xiao
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  |  
浏览/下载:11/0
  |  
提交时间:2020/06/02
Potential-free field inverse Schrodinger problem
optimal error bound
Landweber iterative regularization method
a modified kernel method
ill-posed problem
Temperature Compensation of MEMS Gyroscope Based on Support Vector Machine Optimized by GA
会议论文
Xiamen, China, 2019-12-06
作者:
Yang, Yuan
;
Liu, Ying
;
Liu, Yanghong
;
Zhao, Xiaodong
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  |  
浏览/下载:10/0
  |  
提交时间:2020/03/23
MEMS gyroscope
support vector machine
genetic algorithm
temperature compensation
Insulator Segmentation for Power Line Inspection Based on Modified Conditional Generative Adversarial Network
期刊论文
JOURNAL OF SENSORS, 2019, 卷号: 2019, 页码: 8
作者:
Gao, Zishu
;
Yang, Guodong
;
Li, En
;
Shen, Tianyu
;
Wang, Zhe
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/03/30
Permissible area analyses of measurement errors with required fault diagnosability performance
期刊论文
Sensors (Switzerland), 2019, 卷号: 19, 期号: 22
作者:
Jiang, Dong-Nian
;
Li, Wei
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  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Measurement errors
Monte Carlo methods
Normal distribution
Adverse effect
Analysis of measurements
Fault diagnosability
Kullback
Leibler divergence
Quantitative evaluation
Reliable detection
Sparse kernels
Learning graph structure via graph convolutional networks
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 页码: 308-318
作者:
Zhang, Qi
;
Chang, Jianlong
;
Meng, Gaofeng
;
Xu, Shibiao
;
Xiang, Shiming
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浏览/下载:70/0
  |  
提交时间:2019/12/16
Deep learning
Graph convolutional neural networks
Graph structure learning
Changeable kernel sizes
Permissible Area Analyses of Measurement Errors with Required Fault Diagnosability Performance
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 22
作者:
Jiang, Dong-Nian
;
Li, Wei
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浏览/下载:0/0
  |  
提交时间:2020/06/02
fault diagnosability
quantitative evaluation
Kullback-Leibler divergence
Integrated thermal assembly using hierarchical kernel regression method
期刊论文
ADVANCED ROBOTICS, 2019, 页码: 15
作者:
Su, Jianhua
;
Chen, Bin
;
Liu, Chuankai
;
Yang, Xu
;
Liu, Zhiyong
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  |  
浏览/下载:71/0
  |  
提交时间:2019/12/16
Hierarchical kernel regression
integration thermal assembly model
interference-fit
Edge Heuristic GAN for Non-Uniform Blind Deblurring
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2019, 卷号: 26, 期号: 10, 页码: 1546-1550
作者:
Zheng, Shuai
;
Zhu, Zhenfeng
;
Cheng, Jian
;
Guo, Yandong
;
Zhao, Yao
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  |  
浏览/下载:62/0
  |  
提交时间:2019/12/16
Blind image deblurring
generative adversarial network
edge heuristic
SUFFICIENT DIMENSION REDUCTION UNDER DIMENSION-REDUCTION-BASED IMPUTATION WITH PREDICTORS MISSING AT RANDOM
期刊论文
STATISTICA SINICA, 2019, 卷号: 29, 期号: 4, 页码: 1751-1778
作者:
Yang, Xiaojie
;
Wang, Qihua
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  |  
浏览/下载:64/0
  |  
提交时间:2020/01/10
Kernel imputation
missing at random
missing predictors
sliced inverse regression
sufficient dimension reduction
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