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北京航空航天大学 [4]
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期刊论文 [25]
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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
收藏
  |  
浏览/下载:5/0
  |  
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
Multimodal correlation deep belief networks for multi-view classification
期刊论文
APPLIED INTELLIGENCE, 2019, 卷号: 49, 期号: 5, 页码: 1925-1936
作者:
Liao, Hongmei
;
Jia, Weikuan
;
Zhang, Nan
;
Ding, Shifei
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浏览/下载:44/0
  |  
提交时间:2019/08/16
Restricted boltzmann machines
Deep belief networks
Multi-view learning
Canonical correlation analysis
Multimodal learning
Deep neural networks based order completion time prediction by using real-time job shop RFID data
期刊论文
Journal of Intelligent Manufacturing, 2019, 卷号: 30, 页码: 1303-1318
作者:
Wang, Chuang
;
Jiang, Pingyu
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  |  
浏览/下载:6/0
  |  
提交时间:2019/11/19
Backpropagation network
Completion time prediction
Deep belief networks
Mapping relationships
Numerical experiments
Principal components analysis
Production capacity
Realtime processing
A novel multi-segment feature fusion based fault classification approach for rotating machinery
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 122, 页码: 19-41
作者:
Liang, Jiejunyi
;
Zhang, Ying
;
Zhong, Jian-Hua*
;
Yang, Haitao
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/04
Signal segmentation
Empirical mode decomposition
Mathematical morphology
Deep belief networks
Pairwise coupling
Patter recognition
A novel multi-segment feature fusion based fault classification approach for rotating machinery
期刊论文
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 卷号: 122, 页码: 19-41
作者:
Liang, Jiejunyi
;
Zhang, Ying
;
Zhong, Jian-Hua
;
Yang, Haitao
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  |  
浏览/下载:9/0
  |  
提交时间:2019/11/21
Mathematical morphology
Empirical mode decomposition
Patter recognition
Deep belief networks
Pairwise coupling
Signal segmentation
Daily Urban Water Demand Forecasting Based on Chaotic Theory and Continuous Deep Belief Neural Network
期刊论文
NEURAL PROCESSING LETTERS, 2019, 卷号: 50, 期号: 2, 页码: 1173-1189
作者:
Xu, Yuebing
;
Zhang, Jing
;
Long, Zuqiang
;
Lv, Mingyang
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/24
Daily water demand forecasting
Deep belief networks
CDBNN model
Chaotic theory
MOOCRC: A Highly Accurate Resource Recommendation Model for Use in MOOC Environments
期刊论文
Mobile Networks and Applications, 2019, 卷号: 24, 期号: 1, 页码: 34-46
作者:
Zhang, Hao
;
Huang, Tao
;
Lv, Zhihan*
;
Liu, Sanya
;
Yang, Heng
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  |  
浏览/下载:10/0
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提交时间:2019/12/23
MOOCs
Recommender systems
Collaborative filtering
Deep Belief Networks
Classification predictions
The Multiple Classification Method of Signal Recognition for Spacecraft Based on SAE Network
期刊论文
Lecture Notes in Electrical Engineering, 2019, 卷号: 527, 页码: 679-689
作者:
Lan, W.
;
Liu, Y.
;
Qi, Z.
;
Song, S.
;
He, C.
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  |  
浏览/下载:120/0
  |  
提交时间:2019/12/30
Data compression
Digital storage
Learning algorithms
Man machine systems
Network layers
Pattern recognition
Signal encoding
Spacecraft
Systems engineering
Auto encoders
Calculation time
Deep belief networks
Gradient Descent method
Health management
Multi-classification algorithms
Multiple Classification
Signal recognition
Deep learning
Kernelized support vector machine with deep learning: An efficient approach for extreme multiclass dataset
期刊论文
PATTERN RECOGNITION LETTERS, 2018, 卷号: 115, 页码: 4-13
作者:
Zareapoor, Masoumeh
;
Shamsolmoali, Pourya
;
Jain, Deepak Kumar
;
Wanx, Haoxiang
;
Yang, Jie
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  |  
浏览/下载:31/0
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提交时间:2019/07/12
Deep learning
Deep belief networks
Multiclass-classification
Kernel-based SVM
Feature extraction
Defect detection in selective laser melting technology by acoustic signals with deep belief networks
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 卷号: 96, 期号: 5-8, 页码: 2791-2801
作者:
Ye, Dongsen
;
Hong, Geok Soon
;
Zhang, Yingjie
;
Zhu, Kunpeng
;
Fuh, Jerry Ying Hsi
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  |  
浏览/下载:29/0
  |  
提交时间:2019/06/03
Additive manufacturing
Deep belief networks
Fast Fourier transform
Defect detection
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