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科研机构
兰州理工大学 [3]
自动化研究所 [3]
地理科学与资源研究所 [1]
广州地球化学研究所 [1]
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期刊论文 [8]
发表日期
2020 [8]
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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: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
Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 27
作者:
Wang, Shaofei
;
Zhou, Ji
;
Lei, Tianjie
;
Wu, Hua
;
Zhang, Xiaodong
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  |  
浏览/下载:17/0
  |  
提交时间:2021/03/16
land surface temperature
neural network
deep belief network
convolutional neural network
passive microwave
A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 7, 页码: 1344-1355
作者:
Feng, Shuang
;
Chen, C. L. Philip
;
Zhang, Chun-Yang
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  |  
浏览/下载:23/0
  |  
提交时间:2020/08/03
Data models
Training
Training data
Fuzzy neural networks
Databases
Neural networks
Classification
fuzzy deep model
fuzzy restricted Boltzmann machine (FRBM)
hybrid learning
A Method of Rolling Bearing Fault Diagnose Based on Double Sparse Dictionary and Deep Belief Network
期刊论文
IEEE Access, 2020, 卷号: 8, 期号: 7, 页码: 116239-116253
作者:
Junfeng Guo
;
Pengfei Zheng
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  |  
浏览/下载:6/0
  |  
提交时间:2020/11/11
Sparse representation
double sparse dictionary
deep belief network (DBN)
bearing fault diagnosis
feature extraction.
深度学习在故障诊断与预测中的应用
期刊论文
计算机工程与应用, 2020, 卷号: 56, 期号: 03, 页码: 1-18
作者:
余萍
;
曹洁
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  |  
浏览/下载:14/0
  |  
提交时间:2020/06/10
深度学习
特征提取
故障诊断
故障预测
A Real-Time and Ubiquitous Network Attack Detection Based on Deep Belief Network and Support Vector Machine
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 3, 页码: 790-799
作者:
Hao Zhang
;
Yongdan Li
;
Zhihan Lv
;
Arun Kumar Sangaiah
;
Tao Huang
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  |  
浏览/下载:22/0
  |  
提交时间:2021/03/11
Deep belief network (DBN)
flow calculation
frequent pattern
intrusion detection
sliding window
support vector machine (SVM)
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks
期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 44-54
作者:
Chang-Hao Zhu
;
Jie Zhang
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  |  
浏览/下载:16/0
  |  
提交时间:2021/02/22
Polymer melt index
soft sensor
deep learning
deep belief network (DBN)
unsupervised training.
A novel effluent quality predicting model based on genetic-deep belief network algorithm for cleaner production in a full-scale paper-making wastewater treatment
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2020, 卷号: 265, 页码: 121787
作者:
Niu, Guoqiang
;
Yi, Xiaohui
;
Chen, Chen
;
Li, Xiaoyong
;
Han, Donghui
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  |  
浏览/下载:8/0
  |  
提交时间:2021/11/10
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