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北京航空航天大学 [5]
内容类型
会议论文 [3]
期刊论文 [2]
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2018 [2]
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2014 [1]
2013 [1]
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Fault diagnosis of gearbox based on the nonlinear output frequency response functions and PNN
会议论文
Vibroengineering Procedia
作者:
Zhang, X.
;
Wang, Z.
;
Lu, C.
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Condition monitoring
Failure analysis
Frequency response
Gears
Neural networks
Abnormal conditions
Complex nonlinear system
Feature extraction methods
Frequency domain approaches
Gearbox
Non-linear output frequency response function
Probabilistic neural networks
The NOFRFs
Fault detection
Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 1637-1651
作者:
Zhang, Qin
;
Yao, Quanying
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Causality
knowledge representation
probabilistic inference
statistical data
uncertainty
Hot-Redundancy CPCI Measurement and Control System Based on Probabilistic Neural Networks
会议论文
13th International Symposium on Neural Networks (ISNN), Saint Petersburg, RUSSIA, 2016-01-01
作者:
Li, Dan
;
Hu, Xiaoguang
;
Zhang, Guofeng
;
Duan, Haibin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Probabilistic neural networks
Fault diagnosis
Hot-redundancy
Hot-swap
Compact PCI bus
Dynamic Uncertain Causality Graph for Knowledge Representation and Probabilistic Reasoning: Statistics Base, Matrix, and Application
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 卷号: 25, 页码: 645-663
作者:
Zhang, Qin
;
Dong, Chunling
;
Cui, Yan
;
Yang, Zhihui
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/01/06
Causality
complex system
fault diagnosis
probabilistic reasoning
uncertainty
ELICITATION OF MACHINE LEARNING TO HUMAN LEARNING FROM ITERATIVE ERROR CORRECTING
会议论文
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4, 2013-01-01
作者:
Gao, Juan
;
Li, Chun-Fang
;
Liu, Zhen-Guo
;
Liu, Lian-Zhong
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  |  
浏览/下载:3/0
  |  
提交时间:2020/01/06
Machine learning
Human learning
Probabilistic neural networks
Recommendation of learning sample
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