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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
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  |  
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
Improved VMD-KFCM algorithm for the fault diagnosis of rolling bearing vibration signals
期刊论文
IET SIGNAL PROCESSING, 2021, 卷号: 15, 期号: 4, 页码: 238-250
作者:
Chang, Yong
;
Bao, Guangqing
;
Cheng, Sikai
;
He, Ting
;
Yang, Qiaoling
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  |  
浏览/下载:6/0
  |  
提交时间:2021/06/03
Transformer Fault Diagnosis Method Based on Deep Belief Network and Improved Fuzzy C-means Clustering
期刊论文
Gaodianya Jishu/High Voltage Engineering, 2020, 卷号: 46, 期号: 12, 页码: 4258-4265
作者:
Liu, Zhongmin
;
Zhai, Yuxiao
;
Zhang, Xin
;
Zhou, Jinglong
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  |  
浏览/下载:4/0
  |  
提交时间:2022/02/17
Computer aided diagnosis
Failure analysis
Fuzzy neural networks
Fuzzy systems
Accuracy rate
Deep belief networks
Diagnostic accuracy
Fault classification
Fuzzy classification
Improved fuzzy c-means clustering
Transformer fault diagnosis
Transformer faults
3-D Gravity Anomaly Inversion Based on Improved Guided Fuzzy C-Means Clustering Algorithm
期刊论文
PURE AND APPLIED GEOPHYSICS, 2020, 卷号: 177, 期号: 2, 页码: 1005-1027
作者:
Liu, Sheng
;
Jin, Shuanggen
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浏览/下载:24/0
  |  
提交时间:2020/04/17
Fuzzy entropy
discrete-valued inversion
gravity inversion
parameter search
fuzzy C-means algorithm
3-D Gravity Anomaly Inversion Based on Improved Guided Fuzzy C-Means Clustering Algorithm
期刊论文
PURE AND APPLIED GEOPHYSICS, 2020, 卷号: 177, 期号: 2, 页码: 1005-1027
作者:
Liu, Sheng
;
Jin, Shuanggen
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  |  
浏览/下载:8/0
  |  
提交时间:2021/09/26
Fuzzy entropy
discrete-valued inversion
gravity inversion
parameter search
fuzzy C-means algorithm
An Adaptive Feature Selection Algorithm for Fuzzy Clustering Image Segmentation Based on Embedded Neighbourhood Information Constraints
期刊论文
Sensors, 2020, 卷号: 20, 期号: 13, 页码: 31
作者:
H. Ren and T. T. Hu
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浏览/下载:4/0
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提交时间:2021/07/06
A Local Neighborhood Robust Fuzzy Clustering Image Segmentation Algorithm Based on an Adaptive Feature Selection Gaussian Mixture Model
期刊论文
Sensors, 2020, 卷号: 20, 期号: 8, 页码: 25
作者:
H. Ren and T. T. Hu
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  |  
浏览/下载:2/0
  |  
提交时间:2021/07/06
Clustering analysis of rotating machine fault data based on improved fuzzy C-means algorithm with integrated multi-strategy
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2019, 卷号: 32, 期号: 5, 页码: 918-926
作者:
Deng, Lin-Feng
;
Zhang, Ai-Hua
;
Zhao, Rong-Zhen
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  |  
浏览/下载:17/0
  |  
提交时间:2020/11/14
Cluster analysis
Copying
Equivalence classes
Failure analysis
Fuzzy clustering
Fuzzy systems
Rotating machinery
Clustering analysis
Clustering of faults
Clustering performance
Equivalence relations
Fuzzy C mean
High-dimensional feature space
Improved fuzzy c-means
Initial clustering centers
Improved fuzzy C-means algorithm based on density peak
期刊论文
International Journal of Machine Learning and Cybernetics, 2019
作者:
Liu X.-Y.
;
Fan J.-C.
;
Chen Z.-W.
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  |  
浏览/下载:7/0
  |  
提交时间:2019/12/11
Clustering
Density peak
Fuzzy C-means algorithm
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