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自动化研究所 [2]
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Deep patch learning algorithms with high interpretability for regression problems
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
;
Wang, Shiping
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/07/25
deep learning
deep patch learning fuzzy system
fuzzy C-means clustering
interpretability
maximum information coefficient (MIC)
Pearson's correlation coefficients (PCC)
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems
期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:
Huang, Yunhu
;
Chen, Dewang
;
Zhao, Wendi
;
Lv, Yisheng
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/25
Computational modeling
Training
Microwave integrated circuits
Deep learning
Data models
Artificial neural networks
Training data
Fuzzy c-means (FCM) clustering
maximal information coefficient (MIC)
random input (RI)
deep patch learning classifier
interpretability
Exploring and quantifying the relationship between instantaneous wind speed and turbidity in a large shallow lake: case study of Lake Taihu in China
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 卷号: 28, 期号: 13, 页码: 16616-16632
作者:
Ding, Wenhao
;
Zhao, Jinxiao
;
Qin, Boqiang
;
Wu, Tingfeng
;
Zhu, Senlin
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/03/10
Prediction of landslide displacement using multi-kernel extreme learning machine and maximum information coefficient based on variational mode decomposition: a case study in Shaanxi, China
期刊论文
NATURAL HAZARDS, 2021, 卷号: 108, 期号: 1, 页码: 925-946
作者:
Ling, Qing
;
Zhang, Qin
;
Zhang, Jing
;
Kong, Lingjie
;
Zhang, Weiqi
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  |  
浏览/下载:5/0
  |  
提交时间:2021/06/03
Kernel extreme learning machine
Kernel functions
Variational mode decomposition
Maximum information coefficient
Displacement prediction
A Novel Chiller Sensors Fault Diagnosis Method Based on Virtual Sensors
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 13
作者:
Gao, Long
;
Li, Donghui
;
Li, Ding
;
Yao, Lele
;
Liang, Lim Ei
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
virtual sensors
fault detection and diagnosis (FDD)
maximum
information coefficient (MIC)
low false alarm rate
air-cooled chiller
MIC-KMeans: A maximum information coefficient based high-dimensional clustering algorithm
会议论文
Zlin, Czech republic, April 25, 2018 - April 28, 2018
作者:
Wang, Ruping
;
Li, Hui
;
Chen, Mei
;
Dai, Zhenyu
;
Zhu, Ming
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  |  
浏览/下载:5/0
  |  
提交时间:2020/01/05
基于多元统计分析的过程监测研究
学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2017
作者:
王中伟
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浏览/下载:33/0
  |  
提交时间:2017/06/29
主元分析方法
支持向量数据描述
谱聚类
多模态过程监测
局部-全局模型
Monitoring based on MIC-PCA and SVDD for industrial process
会议论文
2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2017, Chongqing, China, March 25-26, 2017
作者:
Zhou XF(周晓锋)
;
Song H(宋宏)
;
Li S(李帅)
;
Wang ZW(王中伟)
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  |  
浏览/下载:14/0
  |  
提交时间:2017/12/11
principal component analysis
support vector data description
maximal information coefficient
process monitoring
industrial process
a novel bayesian network structure learning algorithm based on maximal information coefficient
会议论文
2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, Nanjing, China, October 18, 2012 - October 20, 2012
Zhang Yinghua
;
Hu Qiping
;
Zhang Wensheng
;
Liu Jin
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/09/22
Artificial intelligence
Equivalence classes
Learning algorithms
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