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浏览/检索结果:
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发表日期:2021
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A Fusion Measurement Method for Nano-displacement Based on Kalman Filter and Neural Network
期刊论文
International Journal of Robotics and Automation, 2021, 卷号: 36, 页码: 1-9
作者:
Zhang ZL(张灼亮)
;
Zhou C(周超)
;
Du ZM(杜章铭)
;
Deng L(邓露)
;
Cao ZQ(曹志强)
;
Wang S(王硕)
;
Cheng L(程龙)
;
Deng S(邓赛)
Adobe PDF(3806Kb)
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浏览/下载:101/37
  |  
提交时间:2023/06/26
multi-rate fusion
state block
convolution filtering
nanoscale measurement
Quality-Related Fault Diagnosis Based on k-Nearest Neighbor Rule for Non-Linear Industrial Processes
期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2021, 卷号: 17, 期号: 11, 页码: 1-14
作者:
Ren, Zelin
;
Tang, Yongqiang
;
Zhang, Wensheng
Adobe PDF(1256Kb)
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浏览/下载:434/73
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提交时间:2021/12/28
fault detection
fault diagnosis
quality-related
non-linear industrial process
k-nearest neighbor rule
Data Augmentation and Deep Neuro-fuzzy Network for Student Performance Prediction with MapReduce Framework
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 981-992
作者:
Amlan Jyoti Baruah
;
Siddhartha Baruah
Adobe PDF(1583Kb)
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浏览/下载:229/53
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提交时间:2021/11/26
Educational data mining (EDA)
MapReduce framework
deep neuro-fuzzy network
student performance
data augmentation
Fault Information Recognition for On-board Equipment of High-speed Railway Based on Multi-neural Network Collaboration
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 935-946
作者:
Lu-Jie Zhou
;
Jian-Wu Dang
;
Zhen-Hai Zhang
Adobe PDF(1263Kb)
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浏览/下载:259/58
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提交时间:2021/11/26
Train control system
Chinese named entity recognition (NER)
character feature
gating mechanism
bidirectional long short-term memory (BiLSTM)
Dynamic Event-triggered Control and Estimation: A Survey
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 6, 页码: 857-886
作者:
Xiaohua Ge
;
Qing-Long Han
;
Xian-Ming Zhang
;
Derui Ding
Adobe PDF(3887Kb)
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浏览/下载:234/42
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提交时间:2021/11/26
Networked systems
dynamic event-triggered control
dynamic event-triggered estimation
dynamic event-triggered mechanisms
vehicle active suspension system
water distribution and supply system
Fault Classification for On-board Equipment of High-speed Railway Based on Attention Capsule Network
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 814-825
作者:
Lu-Jie Zhou
;
Jian-Wu Dang
;
Zhen-Hai Zhan
Adobe PDF(1208Kb)
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浏览/下载:263/61
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提交时间:2021/09/13
On-board equipment
fault classification
capsule network
attention mechanism
focal loss
Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations
期刊论文
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 5, 页码: 694-717
作者:
Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi
Adobe PDF(9772Kb)
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浏览/下载:232/58
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提交时间:2021/09/13
Water demand forecasting
water transfer network
supervisory control and data acquisition
water management, multi-core artificial neural network, fuzzy inference system
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者:
Jun Tang
;
Gang Liu
;
Qingtao Pan
Adobe PDF(5712Kb)
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浏览/下载:154/38
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提交时间:2021/09/03
Ant colony optimization (ACO)
artificial bee colony (ABC)
artificial fish swarm (AFS)
bacterial foraging optimization (BFO)
optimization
particle swarm optimization (PSO)
swarm intelligence
Iterative Learning Disturbance Observer Based Attitude Stabilization of Flexible Spacecraft Subject to Complex Disturbances and Measurement Noises
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1576-1587
作者:
Tongfu He
;
Zhong Wu
Adobe PDF(5181Kb)
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浏览/下载:163/53
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提交时间:2021/09/03
Disturbance observer
iterative learning
measurement noise
spacecraft attitude control
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:
Samuel Harford
;
Fazle Karim
;
Houshang Darabi
Adobe PDF(12886Kb)
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浏览/下载:153/47
  |  
提交时间:2021/09/03
Adversarial machine learning
deep learning
multivariate time series
perturbation methods